A Robust graph attention network with dynamic adjusted Graph

Xianchen Zhou, Yaoyun Zeng, Hongxia Wang

Graph Attention Networks(GATs) are useful deep learning models to deal with the graph data. However, recent works show that the classical GAT is vulnerable to adversarial attacks.…