2026
Adversarial Attacks and Robust Training for Hypergraph Neural Networks
ICML 2026poster
Recent studies show that Hypergraph Neural Networks (HGNNs) are vulnerable to adversarial attacks, while adversarial learning in the context of hypergraphs remains substantially under-investigated. In particular, all existing attacks on HGNNs are white-box and customized for either structural or fea…