Understanding the Robustness of Graph Neural Networks against Adversarial Attacks

Tao Wu, Canyixing Cui, Xingping Xian +4

Recent studies have shown that graph neural networks (GNNs) are vulnerable to adversarial attacks, posing significant challenges to their deployment in safety-critical scenarios. T…