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experiments.sh
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experiments.sh
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#! /bin/bash
datasets=(
"ENZYMES"
"pubmed"
"chameleon"
)
model="gcn"
base_name="baseline_nlnti"
conv_depth=4
for dataset in ${datasets[@]}; do
name="${base_name}_${model}_d${conv_depth}_${dataset}"
python local_grid.py -n ${name} --model ${model} --conv_depth ${conv_depth} --dataset ${dataset}
done
base_name="control_nlnti"
conv_depth=4
for dataset in ${datasets[@]}; do
name="${base_name}_${model}_d${conv_depth}_${dataset}"
python local_grid.py -n ${name} --model ${model} --conv_depth ${conv_depth} --dataset ${dataset} --control_type "mp" --control_k 0.1
done
base_name="baseline_ti"
conv_depth=10
for dataset in ${datasets[@]}; do
name="${base_name}_${model}_d${conv_depth}_${dataset}"
python local_grid.py -n ${name} --model ${model} --conv_depth ${conv_depth} --dataset ${dataset} --time_inv
done
base_name="control_ti"
conv_depth=10
for dataset in ${datasets[@]}; do
name="${base_name}_${model}_d${conv_depth}_${dataset}"
python local_grid.py -n ${name} --model ${model} --conv_depth ${conv_depth} --dataset ${dataset} --control_type "mp" --time_inv --control_k 0.1
done