AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack

Ao Liu, Beibei Li, Tao Li +2

Recent studies have revealed the vulnerability of graph convolutional networks (GCNs) to edge-perturbing attacks, such as maliciously inserting or deleting graph edges. However, a…