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Author

Guiying Yan

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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. · 0 citations
Jul 2026

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks

This work investigates hypergraph oversmoothing from a dynamical-systems perspective and develops a reaction--diffusion framework for depth-resistant hypergraph learning, which introduces a reaction mechanism acting on the transverse component to compensate diffusion-induced dissipation and stabilize discriminative var...

Zhi-Heng Zhou, Meng-Yao Zhou, Yan-Cheng Chen et al. · 0 citations

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