Please refer to https://github.com/Hanjun-Dai/graph_adversarial_attack for environment setup and to download dataset.
After the configuration, you should have three directories: ./code/, ./dropbox/ and ./pytorch_structure2vec/.
cd ./code/graph_classification
./run_er_components.sh 15 20 0.15 2 -phase train
./run_er_components.sh 15 20 0.15 3 -phase train
./run_er_components.sh 15 20 0.15 4 -phase train
./run_er_components.sh 40 50 0.05 2 -phase train
./run_er_components.sh 40 50 0.05 3 -phase train
./run_er_components.sh 40 50 0.05 4 -phase train
./run_er_components.sh 90 100 0.02 2 -phase train
./run_er_components.sh 90 100 0.02 3 -phase train
./run_er_components.sh 90 100 0.02 4 -phase train
cd ./code/graph_attack
./run_trivial.sh 15 20 0.15 2 -phase train
./run_trivial.sh 15 20 0.15 3 -phase train
./run_trivial.sh 15 20 0.15 4 -phase train
./run_grad.sh 15 20 0.15 2 -phase train
./run_grad.sh 15 20 0.15 3 -phase train
./run_grad.sh 15 20 0.15 4 -phase train
./run_dqn.sh 15 20 0.15 2 -phase train
./run_dqn.sh 15 20 0.15 3 -phase train
./run_dqn.sh 15 20 0.15 4 -phase train
./run_trivial.sh 40 50 0.05 2 -phase train
./run_trivial.sh 40 50 0.05 3 -phase train
./run_trivial.sh 40 50 0.05 4 -phase train
./run_grad.sh 40 50 0.05 2 -phase train
./run_grad.sh 40 50 0.05 3 -phase train
./run_grad.sh 40 50 0.05 4 -phase train
./run_dqn.sh 40 50 0.05 2 -phase train
./run_dqn.sh 40 50 0.05 3 -phase train
./run_dqn.sh 40 50 0.05 4 -phase train
./run_trivial.sh 90 100 0.02 2 -phase train
./run_trivial.sh 90 100 0.02 3 -phase train
./run_trivial.sh 90 100 0.02 4 -phase train
./run_grad.sh 90 100 0.02 2 -phase train
./run_grad.sh 90 100 0.02 3 -phase train
./run_grad.sh 90 100 0.02 4 -phase train
./run_dqn.sh 90 100 0.02 2 -phase train
./run_dqn.sh 90 100 0.02 3 -phase train
./run_dqn.sh 90 100 0.02 4 -phase train