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

16 Jun 2020Ao ZhangJinwen Ma

Graph neural networks (GNNs) achieve remarkable performance for tasks on graph data. However, recent works show they are extremely vulnerable to adversarial structural perturbations, making their outcomes unreliable... (read more)

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