Spectral Adversarial Training for Robust Graph Neural Network

Jintang Li, Jiaying Peng, Liang Chen +3

Recent studies demonstrate that Graph Neural Networks (GNNs) are vulnerable to slight but adversarially designed perturbations, known as adversarial examples. To address this issue…