Towards Trustworthy Hypergraph Neural Networks under Label Noise
A new hypergraph robust framework, HyperTrust, is proposed, which first estimates hyperedge trustworthiness through a pretraining-based, entropy-aware strategy, and then incorporates the HyperedgeBoost module to enhance reliable supervision by connecting unlabeled nodes to trustworthy hyperedges, as well as the Hypered...