GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks

Canyixing Cui, Tao Wu, Xingping Xian +3

Graph Neural Networks (GNNs) are vulnerable to adversarial attacks, which inherently invert connectivity patterns by introducing disassortative edges in assortative graphs and asso…