EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning

no code implementations • 12 Dec 2023 • Hiroya Kato, Kento Hasegawa, Seira Hidano, Kazuhide Fukushima

We focus on the fact that the state-of-the-art poisoning attack on GCL tends to mainly add adversarial edges to create poisoned graphs, which means that pruning edges is important to sanitize the graphs.

Contrastive Learning Graph Representation Learning +1