GraphDefense: Towards Robust Graph Convolutional Networks

Xiaoyun Wang, Xuanqing Liu, Cho-Jui Hsieh

In this paper, we study the robustness of graph convolutional networks (GCNs). Despite the good performance of GCNs on graph semi-supervised learning tasks, previous works have sho…