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run.sh
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43 lines (37 loc) · 2.92 KB
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# Train GNN The first step is to train a GNN model, on either link prediction or node classification
python train_gnn.py --dataset CS
python train_gnn.py --dataset Cora
python train_gnn.py --dataset DBLP
python train_gnn.py --dataset PubMed
python train_gnn.py --dataset ogbl-collab
# Unlearn Then we can delete information from the trained GNN model. Based on what you want to delete, run one of the three scrips
# To unlearn edges, please run
python delete_gnn.py --dataset Cora --unlearning_model retrain --df_size 0.5 --df out
python delete_gnn.py --dataset Cora --unlearning_model gradient_ascent --df_size 0.5 --df out
python delete_gnn.py --dataset Cora --unlearning_model gif --df_size 0.5 --df out
python delete_gnn.py --dataset Cora --unlearning_model utu --df_size 0.5 --df out
python delete_gnn.py --dataset Cora --unlearning_model DPO --df_size 0.5 --df out
python delete_gnn.py --dataset Cora --unlearning_model NPO --df_size 0.5 --df out
python delete_gnn.py --dataset Cora --unlearning_model gnndelete_all --df_size 0.5 --df out
python delete_gnn.py --dataset DBLP --unlearning_model retrain --df_size 0.5 --df out
python delete_gnn.py --dataset DBLP --unlearning_model gradient_ascent --df_size 0.5 --df out
python delete_gnn.py --dataset DBLP --unlearning_model gif --df_size 0.5 --df out
python delete_gnn.py --dataset DBLP --unlearning_model gnndelete_all --df_size 0.5 --df out
python delete_gnn.py --dataset DBLP --unlearning_model utu --df_size 0.5 --df out
python delete_gnn.py --dataset DBLP --unlearning_model DPO --df_size 0.5 --df out
python delete_gnn.py --dataset DBLP --unlearning_model NPO --df_size 0.5 --df out
python delete_gnn.py --dataset PubMed --unlearning_model retrain --df_size 0.5 --df out
python delete_gnn.py --dataset PubMed --unlearning_model gradient_ascent --df_size 0.5 --df out
python delete_gnn.py --dataset PubMed --unlearning_model gif --df_size 0.5 --df out
python delete_gnn.py --dataset PubMed --unlearning_model gnndelete_all --df_size 0.5 --df out
python delete_gnn.py --dataset PubMed --unlearning_model utu --df_size 0.5 --df out
python delete_gnn.py --dataset PubMed --unlearning_model DPO --df_size 0.5 --df out
python delete_gnn.py --dataset PubMed --unlearning_model NPO --df_size 0.5 --df out
python delete_gnn.py --dataset CS --unlearning_model gif --df_size 0.5 --df out
python delete_gnn.py --dataset CS --unlearning_model utu --df_size 0.5 --df out
python delete_gnn.py --dataset ogbl-collab --unlearning_model retrain --df_size 0.5 --df out
python delete_gnn.py --dataset ogbl-collab --unlearning_model gradient_ascent --df_size 0.5 --df out
python delete_gnn.py --dataset ogbl-collab --unlearning_model gif --df_size 0.5 --df out
python delete_gnn.py --dataset ogbl-collab --unlearning_model gnndelete_all --df_size 0.5 --df out
python delete_gnn.py --dataset ogbl-collab --unlearning_model utu --df_size 0.5 --df out
python delete_gnn.py --dataset ogbl-collab --unlearning_model NPO --df_size 0.5 --df out