DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder

Ao Zhang, Jinwen Ma

Graph neural networks (GNNs) achieve remarkable performance for tasks on graph data. However, recent works show they are extremely vulnerable to adversarial structural perturbation…