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reproducibility_run_paper_experiments_all.sh
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echo "***WARNING: we heavily discourage running this script, as in our estimates replicating all of our paper experiments might take 4 to 6 months of uninterrupted computation time to complete. We suggest reproducing only a selection of our experiment by running the reproducibility_run_paper_experiments_selection.sh script instead.***" && \
##############################
### END TO END EXPERIMENTS ###
##############################
# Kelpie Necessary ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_complex_fb15k.csv && \
rm output_*.csv && \
# K1 Necessary ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode necessary --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_complex_fb15k.csv && \
rm output_*.csv && \
# DP Necessary ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_complex_fb15k.csv && \
rm output_*.csv && \
# Criage Necessary ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode necessary --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_complex_fb15k.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_complex_fb15k.csv && \
rm output_*.csv && \
# K1 Sufficient ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode sufficient --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_complex_fb15k.csv && \
rm output_*.csv && \
# DP Sufficient ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_complex_fb15k.csv && \
rm output_*.csv && \
# Criage Sufficient ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode sufficient --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_complex_fb15k.csv && \
rm output_*.csv && \
# Kelpie Necessary ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_complex_wn18.csv && \
rm output_*.csv && \
# K1 Necessary ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode necessary --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_complex_wn18.csv && \
rm output_*.csv && \
# DP Necessary ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_complex_wn18.csv && \
rm output_*.csv && \
# Criage Necessary ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode necessary --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_complex_wn18.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_complex_wn18.csv && \
rm output_*.csv && \
# K1 Sufficient ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode sufficient --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_complex_wn18.csv && \
rm output_*.csv && \
# DP Sufficient ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_complex_wn18.csv && \
rm output_*.csv && \
# Criage Sufficient ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode sufficient --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_sufficient_complex_wn18.csv && \
rm output_*.csv && \
# Kelpie Necessary ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_complex_fb15k237.csv && \
rm output_*.csv && \
# K1 Necessary ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode necessary --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_complex_fb15k237.csv && \
rm output_*.csv && \
# DP Necessary ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_complex_fb15k237.csv && \
rm output_*.csv && \
# Criage Necessary ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode necessary --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_complex_fb15k237.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_complex_fb15k237.csv && \
rm output_*.csv && \
# K1 Sufficient ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode sufficient --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_complex_fb15k237.csv && \
rm output_*.csv && \
# DP Sufficient ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_complex_fb15k237.csv && \
rm output_*.csv && \
# Criage Sufficient ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode sufficient --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_sufficient_complex_fb15k237.csv && \
rm output_*.csv && \
# Kelpie Necessary ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_complex_wn18rr.csv && \
rm output_*.csv && \
# K1 Necessary ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode necessary --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_complex_wn18rr.csv && \
rm output_*.csv && \
# DP Necessary ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_complex_wn18rr.csv && \
rm output_*.csv && \
# Criage Necessary ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode necessary --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_complex_wn18rr.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_complex_wn18rr.csv && \
rm output_*.csv && \
# K1 Sufficient ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode sufficient --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_complex_wn18rr.csv && \
rm output_*.csv && \
# DP Sufficient ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_complex_wn18rr.csv && \
rm output_*.csv && \
# Criage Sufficient ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode sufficient --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_sufficient_complex_wn18rr.csv && \
rm output_*.csv && \
# Kelpie Necessary ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_complex_yago310.csv && \
rm output_*.csv && \
# K1 Necessary ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode necessary --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_complex_yago310.csv && \
rm output_*.csv && \
# DP Necessary ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_complex_yago310.csv && \
rm output_*.csv && \
# Criage Necessary ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode necessary --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_complex_yago310.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_complex_yago310.csv && \
rm output_*.csv && \
# K1 Sufficient ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode sufficient --baseline k1 && \
python3 scripts/complex/verify_explanations.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_complex_yago310.csv && \
rm output_*.csv && \
# DP Sufficient ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/complex/verify_explanations.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_complex_yago310.csv && \
rm output_*.csv && \
# Criage Sufficient ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode sufficient --baseline criage && \
python3 scripts/complex/verify_explanations.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_sufficient_complex_yago310.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode necessary && \
python3 scripts/conve/verify_explanations.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_conve_fb15k.csv && \
rm output_*.csv && \
# K1 Necessary ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode necessary --baseline k1 && \
python3 scripts/conve/verify_explanations.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_conve_fb15k.csv && \
rm output_*.csv && \
# DP Necessary ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode necessary --baseline data_poisoning && \
python3 scripts/conve/verify_explanations.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_conve_fb15k.csv && \
rm output_*.csv && \
# Criage Necessary ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode necessary --baseline criage && \
python3 scripts/conve/verify_explanations.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_conve_fb15k.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode sufficient && \
python3 scripts/conve/verify_explanations.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_conve_fb15k.csv && \
rm output_*.csv && \
# K1 Sufficient ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode sufficient --baseline k1 && \
python3 scripts/conve/verify_explanations.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_conve_fb15k.csv && \
rm output_*.csv && \
# DP Sufficient ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/conve/verify_explanations.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_conve_fb15k.csv && \
rm output_*.csv && \
# Criage Sufficient ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode sufficient --baseline criage && \
python3 scripts/conve/verify_explanations.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_sufficient_conve_fb15k.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode necessary && \
python3 scripts/conve/verify_explanations.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_conve_wn18.csv && \
rm output_*.csv && \
# K1 Necessary ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode necessary --baseline k1 && \
python3 scripts/conve/verify_explanations.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_conve_wn18.csv && \
rm output_*.csv && \
# DP Necessary ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/conve/verify_explanations.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_conve_wn18.csv && \
rm output_*.csv && \
# Criage Necessary ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode necessary --baseline criage && \
python3 scripts/conve/verify_explanations.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_conve_wn18.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode sufficient && \
python3 scripts/conve/verify_explanations.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_conve_wn18.csv && \
rm output_*.csv && \
# K1 Sufficient ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode sufficient --baseline k1 && \
python3 scripts/conve/verify_explanations.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_conve_wn18.csv && \
rm output_*.csv && \
# DP Sufficient ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/conve/verify_explanations.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_conve_wn18.csv && \
rm output_*.csv && \
# Criage Sufficient ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode sufficient --baseline criage && \
python3 scripts/conve/verify_explanations.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_sufficient_conve_wn18.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE FB15k-237
python3 scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode necessary && \
python scripts/conve/verify_explanations.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_conve_fb15k237.csv && \
rm output_*.csv && \
# K1 Necessary ConvE FB15k-237
python3 scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode necessary --baseline k1 && \
python scripts/conve/verify_explanations.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_conve_fb15k237.csv && \
rm output_*.csv && \
# DP Necessary ConvE FB15k-237
python3 scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode necessary --baseline data_poisoning && \
python scripts/conve/verify_explanations.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_conve_fb15k237.csv && \
rm output_*.csv && \
# Criage Necessary ConvE FB15k-237
python scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode necessary --baseline criage && \
python scripts/conve/verify_explanations.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_conve_fb15k237.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE FB15k-237
python3 scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode sufficient && \
python scripts/conve/verify_explanations.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_conve_fb15k237.csv && \
rm output_*.csv && \
# K1 Sufficient ConvE FB15k-237
python3 scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode sufficient --baseline k1 && \
python scripts/conve/verify_explanations.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_conve_fb15k237.csv && \
rm output_*.csv && \
# DP Sufficient ConvE FB15k-237
python3 scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode sufficient --baseline data_poisoning && \
python scripts/conve/verify_explanations.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_conve_fb15k237.csv && \
rm output_*.csv && \
# Criage Sufficient ConvE FB15k-237
python scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode sufficient --baseline criage && \
python scripts/conve/verify_explanations.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_sufficient_conve_fb15k237.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode necessary && \
python3 scripts/conve/verify_explanations.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_conve_wn18rr.csv && \
rm output_*.csv && \
# K1 Necessary ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode necessary --baseline k1 && \
python3 scripts/conve/verify_explanations.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_conve_wn18rr.csv && \
rm output_*.csv && \
# DP Necessary ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/conve/verify_explanations.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_conve_wn18rr.csv && \
rm output_*.csv && \
# Criage Necessary ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode necessary --baseline criage && \
python3 scripts/conve/verify_explanations.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_conve_wn18rr.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode sufficient && \
python3 scripts/conve/verify_explanations.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_conve_wn18rr.csv && \
rm output_*.csv && \
# K1 Sufficient ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode sufficient --baseline k1 && \
python3 scripts/conve/verify_explanations.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_conve_wn18rr.csv && \
rm output_*.csv && \
# DP Sufficient ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/conve/verify_explanations.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_conve_wn18rr.csv && \
rm output_*.csv && \
# Criage Sufficient ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode sufficient --baseline criage && \
python3 scripts/conve/verify_explanations.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_sufficient_conve_wn18rr.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode necessary && \
python3 scripts/conve/verify_explanations.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_conve_yago310.csv && \
rm output_*.csv && \
# K1 Necessary ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode necessary --baseline k1 && \
python3 scripts/conve/verify_explanations.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_conve_yago310.csv && \
rm output_*.csv && \
# DP Necessary ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/conve/verify_explanations.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_conve_yago310.csv && \
rm output_*.csv && \
# Criage Necessary ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode necessary --baseline criage && \
python3 scripts/conve/verify_explanations.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_necessary_conve_yago310.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode sufficient && \
python3 scripts/conve/verify_explanations.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_conve_yago310.csv && \
rm output_*.csv && \
# K1 Sufficient ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode sufficient --baseline k1 && \
python3 scripts/conve/verify_explanations.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_conve_yago310.csv && \
rm output_*.csv && \
# DP Sufficient ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/conve/verify_explanations.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_conve_yago310.csv && \
rm output_*.csv && \
# Criage Sufficient ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode sufficient --baseline criage && \
python3 scripts/conve/verify_explanations.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/criage_sufficient_conve_yago310.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE FB15k
python3 scripts/transe/explain.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.01 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --facts_to_explain_path input_facts/transe_fb15k_random.csv --mode necessary && \
python3 scripts/transe/verify_explanations.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_transe_fb15k.csv && \
rm output_*.csv && \
# K1 Necessary TransE FB15k
python3 scripts/transe/explain.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --facts_to_explain_path input_facts/transe_fb15k_random.csv --mode necessary --baseline k1 && \
python3 scripts/transe/verify_explanations.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_transe_fb15k.csv && \
rm output_*.csv && \
# DP Necessary TransE FB15k
python3 scripts/transe/explain.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --facts_to_explain_path input_facts/transe_fb15k_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/transe/verify_explanations.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_transe_fb15k.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE FB15k
python3 scripts/transe/explain.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.01 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --facts_to_explain_path input_facts/transe_fb15k_random.csv --mode sufficient && \
python3 scripts/transe/verify_explanations.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_transe_fb15k.csv && \
rm output_*.csv && \
# K1 Sufficient TransE FB15k
python3 scripts/transe/explain.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --facts_to_explain_path input_facts/transe_fb15k_random.csv --mode sufficient --baseline k1 && \
python3 scripts/transe/verify_explanations.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_transe_fb15k.csv && \
rm output_*.csv && \
# DP Sufficient TransE FB15k
python3 scripts/transe/explain.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --facts_to_explain_path input_facts/transe_fb15k_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/transe/verify_explanations.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_transe_fb15k.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE WN18
python3 scripts/transe/explain --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --facts_to_explain_path input_facts/transe_wn18_random.csv --model_path stored_models/TransE_WN18.pt --mode necessary && \
python3 end_to_end_testing/transe/verify_explanations.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --model_path stored_models/TransE_WN18.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_transe_wn18.csv && \
rm output_*.csv && \
# K1 Necessary TransE WN18
python3 scripts/transe/explain.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --facts_to_explain_path input_facts/transe_wn18_random.csv --model_path stored_models/TransE_WN18.pt --mode necessary --baseline k1 && \
python3 end_to_end_testing/transe/verify_explanations.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --model_path stored_models/TransE_WN18.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_transe_wn18.csv && \
rm output_*.csv && \
# DP Necessary TransE WN18
python3 scripts/transe/explain.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --facts_to_explain_path input_facts/transe_wn18_random.csv --model_path stored_models/TransE_WN18.pt --mode necessary --baseline data_poisoning && \
python3 end_to_end_testing/transe/verify_explanations.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --model_path stored_models/TransE_WN18.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_transe_wn18.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE WN18
python3 scripts/transe/explain --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --facts_to_explain_path input_facts/transe_wn18_random.csv --model_path stored_models/TransE_WN18.pt --mode sufficient && \
python3 end_to_end_testing/transe/verify_explanations.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --model_path stored_models/TransE_WN18.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_transe_wn18.csv && \
rm output_*.csv && \
# K1 Sufficient TransE WN18
python3 scripts/transe/explain.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --facts_to_explain_path input_facts/transe_wn18_random.csv --model_path stored_models/TransE_WN18.pt --mode sufficient --baseline k1 && \
python3 end_to_end_testing/transe/verify_explanations.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --model_path stored_models/TransE_WN18.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_transe_wn18.csv && \
rm output_*.csv && \
# DP Sufficient TransE WN18
python3 scripts/transe/explain.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --facts_to_explain_path input_facts/transe_wn18_random.csv --model_path stored_models/TransE_WN18.pt --mode sufficient --baseline data_poisoning && \
python3 end_to_end_testing/transe/verify_explanations.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --model_path stored_models/TransE_WN18.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_transe_wn18.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE FB15k-237
python3 scripts/transe/explain.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --facts_to_explain_path input_facts/transe_fb15k237_random.csv --model_path stored_models/TransE_FB15k-237.pt --mode necessary && \
python3 scripts/transe/verify_explanations.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --model_path stored_models/TransE_FB15k-237.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_transe_fb15k237.csv && \
rm output_*.csv && \
# K1 Necessary TransE FB15k-237
python3 scripts/transe/explain.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --facts_to_explain_path input_facts/transe_fb15k237_random.csv --model_path stored_models/TransE_FB15k-237.pt --mode necessary --baseline k1 && \
python3 scripts/transe/verify_explanations.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --model_path stored_models/TransE_FB15k-237.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_transe_fb15k237.csv && \
rm output_*.csv && \
# DP Necessary TransE FB15k-237
python3 scripts/transe/explain.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --facts_to_explain_path input_facts/transe_fb15k237_random.csv --model_path stored_models/TransE_FB15k-237.pt --mode necessary --baseline data_poisoning && \
python3 scripts/transe/verify_explanations.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --model_path stored_models/TransE_FB15k-237.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_transe_fb15k237.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE FB15k-237
python3 scripts/transe/explain.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --facts_to_explain_path input_facts/transe_fb15k237_random.csv --model_path stored_models/TransE_FB15k-237.pt --mode sufficient && \
python3 scripts/transe/verify_explanations.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --model_path stored_models/TransE_FB15k-237.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_transe_fb15k237.csv && \
rm output_*.csv && \
# K1 Sufficient TransE FB15k-237
python3 scripts/transe/explain.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --facts_to_explain_path input_facts/transe_fb15k237_random.csv --model_path stored_models/TransE_FB15k-237.pt --mode sufficient --baseline k1 && \
python3 scripts/transe/verify_explanations.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --model_path stored_models/TransE_FB15k-237.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_transe_fb15k237.csv && \
rm output_*.csv && \
# DP Sufficient TransE FB15k-237
python3 scripts/transe/explain.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --facts_to_explain_path input_facts/transe_fb15k237_random.csv --model_path stored_models/TransE_FB15k-237.pt --mode sufficient --baseline data_poisoning && \
python3 scripts/transe/verify_explanations.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --model_path stored_models/TransE_FB15k-237.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_transe_fb15k237.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE WN18RR
python3 scripts/transe/explain.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --facts_to_explain_path input_facts/transe_wn18rr_random.csv --mode necessary && \
python scripts/transe/verify_explanations.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_transe_wn18rr.csv && \
rm output_*.csv && \
# K1 Necessary TransE WN18RR
python3 scripts/transe/explain.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --facts_to_explain_path input_facts/transe_wn18rr_random.csv --mode necessary --baseline k1 && \
python scripts/transe/verify_explanations.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_transe_wn18rr.csv && \
rm output_*.csv && \
# DP Necessary TransE WN18RR
python3 scripts/transe/explain.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --facts_to_explain_path input_facts/transe_wn18rr_random.csv --mode necessary --baseline data_poisoning && \
python scripts/transe/verify_explanations.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_transe_wn18rr.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE WN18RR
python3 scripts/transe/explain.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --facts_to_explain_path input_facts/transe_wn18rr_random.csv --mode sufficient && \
python scripts/transe/verify_explanations.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_transe_wn18rr.csv && \
rm output_*.csv && \
# K1 Sufficient TransE WN18RR
python3 scripts/transe/explain.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --facts_to_explain_path input_facts/transe_wn18rr_random.csv --mode sufficient --baseline k1 && \
python scripts/transe/verify_explanations.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_transe_wn18rr.csv && \
rm output_*.csv && \
# DP Sufficient TransE WN18RR
python3 scripts/transe/explain.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --facts_to_explain_path input_facts/transe_wn18rr_random.csv --mode sufficient --baseline data_poisoning && \
python scripts/transe/verify_explanations.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_transe_wn18rr.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE YAGO3-10
python3 scripts/transe/explain.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.01 --dimension 200 --negative_samples_ratio 10 --regularizer_weight 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --facts_to_explain_path input_facts/transe_yago_random.csv --mode necessary && \
python3 scripts/transe/verify_explanations.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weigh 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_necessary_transe_yago310.csv && \
rm output_*.csv && \
# K1 Necessary TransE YAGO3-10
python3 scripts/transe/explain.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weight 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --facts_to_explain_path input_facts/transe_yago_random.csv --mode necessary --baseline k1 && \
python3 scripts/transe/verify_explanations.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weigh 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_necessary_transe_yago310.csv && \
rm output_*.csv && \
# DP Necessary TransE YAGO3-10
python3 scripts/transe/explain.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weight 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --facts_to_explain_path input_facts/transe_yago_random.csv --mode necessary --baseline data_poisoning && \
python3 scripts/transe/verify_explanations.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weigh 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --mode necessary && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_necessary_transe_yago310.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE YAGO3-10
python3 scripts/transe/explain.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.01 --dimension 200 --negative_samples_ratio 10 --regularizer_weight 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --facts_to_explain_path input_facts/transe_yago_random.csv --mode sufficient && \
python3 scripts/transe/verify_explanations.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weigh 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/kelpie_sufficient_transe_yago310.csv && \
rm output_*.csv && \
# K1 Sufficient TransE YAGO3-10
python3 scripts/transe/explain.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weight 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --facts_to_explain_path input_facts/transe_yago_random.csv --mode sufficient --baseline k1 && \
python3 scripts/transe/verify_explanations.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weigh 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/k1_sufficient_transe_yago310.csv && \
rm output_*.csv && \
# DP Sufficient TransE YAGO3-10
python3 scripts/transe/explain.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weight 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --facts_to_explain_path input_facts/transe_yago_random.csv --mode sufficient --baseline data_poisoning && \
python3 scripts/transe/verify_explanations.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weigh 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --mode sufficient && \
mv output_end_to_end.csv scripts/experiments/end_to_end/dp_sufficient_transe_yago310.csv && \
rm output_*.csv && \
##############################
### MINIMALITY EXPERIMENTS ###
##############################
# Kelpie Necessary ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/explanation_minimality/kelpie_necessary_complex_fb15k_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx FB15k
python3 scripts/complex/explain.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --facts_to_explain_path input_facts/complex_fb15k_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset FB15k --model_path stored_models/ComplEx_FB15k.pt --optimizer Adagrad --dimension 2000 --batch_size 100 --max_epochs 200 --learning_rate 0.01 --reg 2.5e-3 --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_complex_fb15k_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_complex_wn18_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx WN18
python3 scripts/complex/explain.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_wn18_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset WN18 --model_path stored_models/ComplEx_WN18.pt --optimizer Adagrad --dimension 500 --batch_size 1000 --max_epochs 20 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_complex_wn18_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_complex_fb15k237_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx FB15k-237
python3 scripts/complex/explain.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --facts_to_explain_path input_facts/complex_fb15k237_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset FB15k-237 --model_path stored_models/ComplEx_FB15k-237.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 100 --learning_rate 0.1 --reg 5e-2 --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_complex_fb15k237.csv_sampled && \
rm output_*.csv && \
# Kelpie Necessary ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_complex_wn18rr_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx WN18RR
python3 scripts/complex/explain.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --facts_to_explain_path input_facts/complex_wn18rr_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset WN18RR --model_path stored_models/ComplEx_WN18RR.pt --optimizer Adagrad --dimension 500 --batch_size 100 --max_epochs 100 --learning_rate 0.1 --reg 1e-1 --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_complex_wn18rr_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode necessary && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_complex_yago310_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ComplEx YAGO3-10
python3 scripts/complex/explain.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --facts_to_explain_path input_facts/complex_yago_random.csv --mode sufficient && \
python3 scripts/complex/verify_explanations_skip_random.py --dataset YAGO3-10 --model_path stored_models/ComplEx_YAGO3-10.pt --optimizer Adagrad --dimension 1000 --batch_size 1000 --max_epochs 50 --learning_rate 0.1 --reg 5e-3 --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_complex_yago310_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode necessary && \
python3 scripts/conve/verify_explanations_skip_random.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_conve_fb15k_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE FB15k
python3 scripts/conve/explain.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --facts_to_explain_path input_facts/conve_fb15k_random_nec.csv --mode sufficient && \
python3 scripts/conve/verify_explanations_skip_random.py --dataset FB15k --max_epochs 1000 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_conve_fb15k_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode necessary && \
python3 scripts/conve/verify_explanations_skip_random.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_conve_wn18_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE WN18
python3 scripts/conve/explain.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --facts_to_explain_path input_facts/conve_wn18_random.csv --mode sufficient && \
python3 scripts/conve/verify_explanations_skip_random.py --dataset WN18 --max_epochs 150 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_conve_wn18_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE FB15k-237
python3 scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode necessary && \
python scripts/conve/verify_explanations_skip_random.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_conve_fb15k237_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE FB15k-237
python3 scripts/conve/explain.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --facts_to_explain_path input_facts/conve_fb15k237_random.csv --mode sufficient && \
python scripts/conve/verify_explanations_skip_random.py --dataset FB15k-237 --max_epochs 60 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_FB15k-237.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_conve_fb15k237_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode necessary && \
python3 scripts/conve/verify_explanations_skip_random.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_conve_wn18rr_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE WN18RR
python3 scripts/conve/explain.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --facts_to_explain_path input_facts/conve_wn18rr_random.csv --mode sufficient && \
python3 scripts/conve/verify_explanations_skip_random.py --dataset WN18RR --max_epochs 90 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_WN18RR.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_conve_wn18rr_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode necessary && \
python3 scripts/conve/verify_explanations_skip_random.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_conve_yago310_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient ConvE YAGO3-10
python3 scripts/conve/explain.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --facts_to_explain_path input_facts/conve_yago_random.csv --mode sufficient && \
python3 scripts/conve/verify_explanations_skip_random.py --dataset YAGO3-10 --max_epochs 500 --batch_size 128 --learning_rate 0.003 --dimension 200 --input_dropout 0.2 --hidden_dropout 0.3 --feature_map_dropout 0.2 --decay_rate 0.995 --model_path stored_models/ConvE_YAGO3-10.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_conve_yago310_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE FB15k
python3 scripts/transe/explain.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.01 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --facts_to_explain_path input_facts/transe_fb15k_random.csv --mode necessary && \
python3 scripts/transe/verify_explanations_skip_random.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_transe_fb15k_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE FB15k
python3 scripts/transe/explain.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.01 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --facts_to_explain_path input_facts/transe_fb15k_random.csv --mode sufficient && \
python3 scripts/transe/verify_explanations_skip_random.py --dataset FB15k --max_epochs 200 --batch_size 2048 --learning_rate 0.00003 --dimension 200 --negative_samples_ratio 5 --regularizer_weight 2.0 --margin 2 --model_path stored_models/TransE_FB15k.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_transe_fb15k_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE WN18
python3 scripts/transe/explain --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --facts_to_explain_path input_facts/transe_wn18_random.csv --model_path stored_models/TransE_WN18.pt --mode necessary && \
python3 end_to_end_testing/transe/verify_explanations_skip_random.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --model_path stored_models/TransE_WN18.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_transe_wn18_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE WN18
python3 scripts/transe/explain --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --facts_to_explain_path input_facts/transe_wn18_random.csv --model_path stored_models/TransE_WN18.pt --mode sufficient && \
python3 end_to_end_testing/transe/verify_explanations_skip_random.py --dataset WN18 --max_epochs 250 --batch_size 2048 --learning_rate 0.0002 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 0 --margin 2 --model_path stored_models/TransE_WN18.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_transe_wn18_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE FB15k-237
python3 scripts/transe/explain.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --facts_to_explain_path input_facts/transe_fb15k237_random.csv --model_path stored_models/TransE_FB15k-237.pt --mode necessary && \
python3 scripts/transe/verify_explanations_skip_random.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --model_path stored_models/TransE_FB15k-237.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_transe_fb15k237_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE FB15k-237
python3 scripts/transe/explain.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --facts_to_explain_path input_facts/transe_fb15k237_random.csv --model_path stored_models/TransE_FB15k-237.pt --mode sufficient && \
python3 scripts/transe/verify_explanations_skip_random.py --dataset FB15k-237 --max_epochs 100 --batch_size 2048 --learning_rate 0.0004 --dimension 50 --negative_samples_ratio 15 --regularizer_weight 1.0 --margin 5 --model_path stored_models/TransE_FB15k-237.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_transe_fb15k237_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE WN18RR
python3 scripts/transe/explain.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --facts_to_explain_path input_facts/transe_wn18rr_random.csv --mode necessary && \
python scripts/transe/verify_explanations_skip_random.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_transe_wn18rr_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE WN18RR
python3 scripts/transe/explain.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.01 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --facts_to_explain_path input_facts/transe_wn18rr_random.csv --mode sufficient && \
python scripts/transe/verify_explanations_skip_random.py --dataset WN18RR --max_epochs 200 --batch_size 2048 --learning_rate 0.0001 --dimension 50 --negative_samples_ratio 5 --regularizer_weight 50.0 --margin 2 --model_path stored_models/TransE_WN18RR.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_transe_wn18rr_sampled.csv && \
rm output_*.csv && \
# Kelpie Necessary TransE YAGO3-10
python3 scripts/transe/explain.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.01 --dimension 200 --negative_samples_ratio 10 --regularizer_weight 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --facts_to_explain_path input_facts/transe_yago_random.csv --mode necessary && \
python3 scripts/transe/verify_explanations_skip_random.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weigh 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --mode necessary && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_necessary_transe_yago310_sampled.csv && \
rm output_*.csv && \
# Kelpie Sufficient TransE YAGO3-10
python3 scripts/transe/explain.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.01 --dimension 200 --negative_samples_ratio 10 --regularizer_weight 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --facts_to_explain_path input_facts/transe_yago_random.csv --mode sufficient && \
python3 scripts/transe/verify_explanations_skip_random.py --dataset YAGO3-10 --max_epochs 100 --batch_size 2048 --learning_rate 0.0001 --dimension 200 --negative_samples_ratio 10 --regularizer_weigh 50 --margin 5 --model_path stored_models/TransE_YAGO3-10.pt --mode sufficient && \
[ ! -f output_end_to_end_skipping_random_facts.txt ] || mv output_end_to_end_skipping_random_facts.txt scripts/experiments/end_to_end/kelpie_sufficient_transe_yago310_sampled.csv && \
rm output_*.csv