Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges

Meixia He, Peican Zhu, Keke Tang +1

Recent studies have shown that Hypergraph Neural Networks (HGNNs) are vulnerable to adversarial attacks. Existing approaches focus on hypergraph modification attacks guided by grad…