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September 28, 2026Knowledge and Information SystemsOpen Access

Bhygnn+: unsupervised representation learning for heterophilic hypergraphs

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Authors

TMTianyi MaYQYiyue QianAmazon (Germany)ZWZehong WangUniversity of Notre Dame

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Ma et al. (2026) studied this question.

synapsesocial.com/papers/6ab9b40e7822ec8fc3d8d61ehttps://doi.org/10.1007/s10115-026-02834-x
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Also Consider

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  1. 1Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network2024 · 2 citations
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  3. 3CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network2024 · 42 citations
  4. 4DPHGNN: A Dual Perspective Hypergraph Neural Networks2024
  5. 5Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts2024