Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization

Ganlin Liu, Ziling Liang, Xiaowei Huang +2

Despite impressive capability in learning over graph-structured data, graph neural networks (GNN) suffer from adversarial topology perturbation in both training and inference phase…