mlsanityData to 7 Oct 2026

Recent Advances in Hypergraph Neural Networks

arXiv 2503.07959 ↗First posted 11 Mar 2025cs.LG cs.SIcited by 7

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Abstract (arXiv)

The growing interest in hypergraph neural networks (HGNNs) is driven by their capacity to capture the complex relationships and patterns within hypergraph structured data across various domains, including computer vision, complex networks, and natural language processing. This paper comprehensively reviews recent advances in HGNNs and presents a taxonomy of mainstream models based on their architectures: hypergraph convolutional networks (HGCNs), hypergraph attention networks (HGATs), hypergraph autoencoders (HGAEs), hypergraph recurrent networks (HGRNs), and deep hypergraph generative models (DHGGMs). For each category, we delve into its practical applications, mathematical mechanisms, literature contributions, and open problems. Finally, we discuss some common challenges and promising research directions.This paper aspires to be a helpful resource that provides guidance for future research and applications of HGNNs.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 44 of its 131 references that are in the map. First posted on arXiv 11 Mar 2025.

Builds on

44 of 131 references.

References · 44

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  2. 2020Denoising Diffusion Implicit Modelscited by 9,655
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32 more
  1. 2021You are AllSet: A Multiset Function Framework for Hypergraph Neural Networkscited by 124
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  4. 2021Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendationcited by 101
  5. 2020Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendationcited by 75
  6. 2020Be More with Less: Hypergraph Attention Networks for Inductive Text Classificationcited by 73
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  12. 2022Self-supervised Hypergraph Representation Learning for Sociological Analysiscited by 27
  13. 2024A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guidecited by 22
  14. 2021Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Predictioncited by 20
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  21. 2023Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Designcited by 13
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  27. 2021Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural Networkcited by 7
  28. 2022Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representationcited by 6
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 5.

7 papers.

  1. 2025SoftHGNN: Soft Hypergraph Neural Networks for General Visual Recognitioncited by 4
  2. 2025Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guaranteescited by 3
  3. 2026HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detectioncited by 0
  4. 2026High-order Knowledge Based Network Controllability Robustness Prediction: A Hypergraph Neural Network Approachcited by 0
  5. 2026Hypergraph Neural Networks Accelerate MUS Enumerationcited by 0
  6. 2026ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET predictioncited by 0
  7. 2026Optimizing Hypergraph-Based RAG: Toward Better Fact Extraction and Chunk Retrievalcited by 0