Preprint
Aug 2026
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...
Meng-Yao Zhou, Zhi-Heng Zhou, Xiao Han et al.
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