Motif_Backdoor

This is a PyThorh implementation of Motif-Backdoor:Rethinking the Backdoor Attack on Graph Neural Networks from Motifs, as described in our paper:

Step -1: Requirement

The code requires Python >=3.6 and is built on PyTorch. Note that PyTorch may need to be installed manually depending on different platforms and CUDA drivers.

Step 0: Datasets

We provide the datasets used in our paper:

[ "PROTEINS","AIDS" ,"NCI1","DBLP_v1"]

Step 1: Preparation

Training the benign model

python main.py

Step 2: Attack

Training the backdoored model

python attack_main.py