2026
Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges
AAAI 2026technical
Recent studies have demonstrated that hypergraph neural networks (HGNNs) are susceptible to adversarial attacks. However, existing methods rely on the specific information mechanisms of target HGNNs, overlooking the common vulnerability caused by the significant differences in hyperedge pivotality a