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rcexplainer.sh
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gnn_type=gcn
device=1
cpus=0-15
# collect explanations from datasets
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset Mutagenicity
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset Proteins
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset IMDB-B
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset AIDS
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset Mutag
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset NCI1
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset Graph-SST2
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset REDDIT-B
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset DD
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset ogbg_molhiv
# collect explanations from noisy datasets
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness topology_random --lambda_ 1.0 --dataset Mutagenicity
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness topology_random --lambda_ 1.0 --dataset Proteins
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness topology_random --lambda_ 1.0 --dataset IMDB-B
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness topology_random --lambda_ 1.0 --dataset AIDS
# collect explanations from noisy features datasets
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness feature --lambda_ 1.0 --dataset Mutagenicity
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness feature --lambda_ 1.0 --dataset Proteins
# collect explanations from topology adversarial attacked datasets
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness topology_adversarial --lambda_ 1.0 --dataset Mutagenicity
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness topology_adversarial --lambda_ 1.0 --dataset Proteins
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness topology_adversarial --lambda_ 1.0 --dataset IMDB-B
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --robustness topology_adversarial --lambda_ 1.0 --dataset AIDS
# stability seeds
seeds="2 3"
for seed in $seeds; do
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --explainer_run $seed --lambda_ 1.0 --dataset Mutagenicity
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --explainer_run $seed --lambda_ 1.0 --dataset Proteins
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --explainer_run $seed --lambda_ 1.0 --dataset IMDB-B
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --explainer_run $seed --lambda_ 1.0 --dataset AIDS
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --explainer_run $seed --lambda_ 1.0 --dataset Mutag
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --explainer_run $seed --lambda_ 1.0 --dataset NCI1
done
# stability base
gnn_types="gat gin sage"
for gnn_type in $gnn_types; do
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset Mutagenicity
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset Proteins
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset IMDB-B
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset AIDS
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset Mutag
taskset -c $cpus python source/rcexplainer.py --gnn_type $gnn_type --device $device --lambda_ 1.0 --dataset NCI1
done
# generate results
#gnn_type=gcn
#explainers="rcexplainer_1.0"
#metrics="faithfulness faithfulness_with_removal stability_noise stability_seed stability_base"
#for metric in $metrics; do
# for explainer in $explainers; do
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset Mutagenicity --gnn_type "$gnn_type" --device $device --explanation_metric "$metric"
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset Proteins --gnn_type "$gnn_type" --device $device --explanation_metric "$metric"
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset IMDB-B --gnn_type "$gnn_type" --device $device --explanation_metric "$metric"
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset AIDS --gnn_type "$gnn_type" --device $device --explanation_metric "$metric"
# if ! (("$metric" = "stability_noise")); then
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset Mutag --gnn_type "$gnn_type" --device $device --explanation_metric "$metric"
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset NCI1 --gnn_type "$gnn_type" --device $device --explanation_metric "$metric"
# fi
# if [ "$metric" = "faithfulness" ]; then
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset Graph-SST2 --gnn_type "$gnn_type" --device cpu --explanation_metric "$metric"
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset ogbg_molhiv -gnn_type "$gnn_type" --device cpu --explanation_metric "$metric"
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset REDDIT-B --gnn_type "$gnn_type" --device cpu --explanation_metric "$metric"
# taskset -c $cpus python source/result_generator.py --explainer_name "$explainer" --dataset DD --gnn_type "$gnn_type" --device cpu --explanation_metric "$metric"
# fi
# done
#done