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## Reproducing repository | ||
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`run_txgnn.sh` and `train.py`: training scripts | ||
`gather result-txgnn.ipynb`: notebook to produce the plots in the paper | ||
`result_more_metrics.csv`: raw result files | ||
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Model checkpoint here: https://drive.google.com/file/d/1BPHKejmUpERhLTY4negB4e6ZLmoE7dwq/view?usp=sharing | ||
You can use `TxGNN.load_pretrained` to load these checkpoints and evaluate. |
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