GCIA

Source Code for ICASSP'24 paper: GCIA: A BLACK-BOX GRAPH INJECTION ATTACK METHOD VIA GRAPH CONTRASTIVE LEARNING

1. Dataset:

• Cora, Citeseer and PubMed datasets can be found in torch_geometric.datasets.Planetoid
• Reddit-12k dataset can be found in G-NIA, put ''12k_reddit.npz'' and ''12k_reddit_split.npy'' to ''datasets/Reddit12k'':

2. The required packages are as follows:

• Python 3.8+
• PyTorch 1.9+
• PyTorch-Geometric 1.7
• DGL 0.7+
• Scikit-learn 0.24+
• Numpy
• tqdm
• NetworkX

3. Running:

• First train gnns, use '' python data_model_prepare.py ''
• Then perform attack with GCIA, use '' pthon GCIA.py --dataset $dataset_name --model_name $target_model ''