Hypergraph Learning

Ask about this topic

Overview

Hypergraph learning studies data in which one relation can connect several entities at once, such as a group of patients, words, or sensors. Common approaches use hypergraph neural networks with attention or message passing, spectral and diffusion methods, and contrastive learning; some methods also learn the hyperedges or generate hypergraphs. These techniques are applied to tasks including classification, clustering, recommendation, forecasting, and multimodal reasoning, with evaluation spanning structural benchmarks and domain-specific datasets. A central open question is whether reported gains come from genuinely higher-order information or from other model advantages, making comparisons with strong pairwise baselines important.

Latest papers

CardsList

56 papers8 papers in the last four weeks, up 167% on the four weeks before. 0.0% of all new papers.

  1. More Is Better? Exploring Latent Correspondence in Federated Hypergraph Learning

    Oct 29, 2026Bo Yan, Siming Zhang, Siqi Li +1Hypergraph LearningSpectral Graph Embedding

    Tsinghua University · Shanghai University

  2. Overlap-Aware Sub-hypergraph Pattern Frequencies for Hypergraph-Level Classification

    Oct 24, 2026Nafiul Hasan Anik, Nazira Jesmin Lina, Md Tanvir Alam +1Hypergraph LearningGraph Classification

    University of Dhaka

  3. QORH: Learning Query-Specific Ordered Rule Hypergraphs for Inductive Knowledge Graph Link Prediction

    Oct 13, 2026Naixing XuKnowledge GraphsKG Completion

    School of Software, Shandong University, Jinan, China

  4. Do Higher-Order Models Win for Higher-Order Reasons? Rethinking Performance Gains in Hypergraph Learning

    Oct 6, 2026Fanchen Bu, Fan Li, Geon Lee +4Benchmark DesignHypergraph Neural Networks

    KAIST · UNSW Sydney · University of Oxford

  5. Interpretable Hypergraph Learning via Neural Additive Models

    Oct 5, 2026Shihan Feng, Xin Zheng, Shiyi Yang +3Neural Network InterpretabilityHypergraph Neural Networks

    School of Data and Information Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA +2

  6. CoHyFuse: Condition-wise Hypergraph Fusion with Global Connectome in Task-fMRI

    Oct 5, 2026Boseong Kim, Haejun Chung, Ikbeom JangFunctional ConnectivityNeuroimaging

    Hanyang University, Seoul, Republic of Korea · Hankuk University of Foreign Studies, Yongin, Republic of Korea

  7. Hypergraph Representation Learning with Hyperlink Random Effects

    Oct 3, 2026Zimeng Li, Shihao Wu, Gongjun Xu +1Hypergraph Learning

    Department of Statistics, Harvard University Cambridge, MA 02138 · Department of Statistics and Data Science, University of California, Davis Davis, CA 95616 · Department of Statistics, University of Michigan Ann Arbor, MI 48109

  8. HyperFuse: Fast Self-Supervised Node Embeddings for Attributed Hypergraphs

    Oct 2, 2026Megha P, Harshit Kumar, Srajan Agarwal +3Hypergraph LearningHypergraph Neural Networks

    School of Data Science, Indian Institute of Science Education and Research Thiruvananthapuram, Thiruvananthapuram, 695551, Kerala, India. · Department of Mathematics and Statistics, Indian Institute of Science Education and Research Kolkata, Mohanpur, 741246, West Bengal, India. · Institute of Computer Science, University of Rostock, Rostock, 18051, Germany. +1

  9. TopoEmbedX: A General Framework for Representation Learning on Topological Domains

    Sep 29, 2026Florian Frantzen, Ibrahem AlJabea, Ines Henriques-Cadby +3Topological Representation LearningGraph Embedding

    RWTH Aachen University · Louisiana State University · The University of Manchester +3

  10. AutoHGNN: Robust and Efficient Neural Architecture Search for Hypergraph Neural Networks

    Sep 27, 2026Sirui Li, Pietro Liò b, Xinsheng Li +2Hypergraph Neural NetworksNeural Architecture Search

    Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China · Department of Computer Science and Technology, University of Cambridge, Cambridge, CB2 1TN, Cambridgeshire, United Kingdom

  11. Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion

    Sep 16, 2026Lining Mao, Yvonne Peters, Ethan Simpson +1High-Energy PhysicsHypergraph Learning

    School of Physics and Astronomy, Shanghai Jiao Tong University, No.800 Dong Chuan Road, Shanghai 200240, PRC · Department of Physics and Astronomy, University of Manchester, Oxford Road, Manchester M13 9PL, UK

  12. Multi-granularity Adaptive Hypergraph Representation Learning via Granular-ball

    Sep 4, 2026Sen Zhao, Yifan Guan, Jinyuan Ni +6Hypergraph LearningHypergraph Neural Networks

    Chongqing University of Posts and Telecommunications

  13. Unsupervised Multi-Scale Gromov-Wasserstein Hypergraph Alignment

    Aug 30, 2026Lutz Oettershagen, Honglian Wang, Aristides GionisGraph MatchingHypergraph Learning

    University of Liverpool · Liverpool, UK · KTH Royal Institute of Technology +2

  14. Hypergraph-based Multimodal Retrieval-Augmented Generation with Incremental Refinement

    Aug 17, 2026Shenao Chen, Yidan Xu, Xiangmin Han +5Multimodal RAGMultimodal IR

    Hangzhou Dianzi University Hangzhou, China · Beijing University of Technology Beijing, China · Xi’an Jiaotong University Xi’an, China +1

  15. Multi-Feature Riemannian Hypergraph for Online Test-Time Adaptation of Motor Imagery Brain-Computer Interface

    Aug 17, 2026Siqi Li, Zhi Li, Tong Liu +5Cross-Session EEG DecodingMI Classification

    Peking University · Chinese Institute for Brain Research, Beijing · NeuCyber Neurotech +2

  16. TAHB: A Comprehensive Benchmark for Text-Attributed Hypergraph Learning

    Aug 15, 2026David Yoon Suk Kang, JungHyun Kim, Juhyun Jeon +1Hypergraph LearningLLMs for Graph Learning

    Chungbuk National University South Korea · Hanyang University South Korea

  17. ProtoHGF-Net: Prototype HyperGraph Fusion with Intra-modal Calibration for RGBT Object Detection

    Aug 12, 2026Xiangqi Chen, Xiuling Zhang, Chengzhuan Yang +7Multispectral Object DetectionMultimodal Fusion

    Zhejiang Normal University Jinhua, Zhejiang, China · Zhejiang Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University · National University of Defense Technology Changsha, Hunan, China +2

  18. Towards Trustworthy Hypergraph Neural Networks under Label Noise

    Aug 5, 2026Mengyao Zhou, Zhiheng Zhou, Xiao Han +1Graph Structure LearningHypergraph Neural Networks

    Academy of Mathematics and Systems Science, Chinese Academy of Sciences and also with the University of Chinese Academy of Sciences, Beijing 100190, China · School of Mathematics and Statistics, Shandong University, Weihai, Shandong 264209, China · School of Artificial Intelligence, Beihang University, Beijing 100191,China

  19. Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding

    Aug 4, 2026Mohnish Raj, Suraj Kumar, Soumi Chattopadhayay +2Prototype LearningMultimodal Fusion

    Mohnish Raj, Suraj Kumar, Graduate Student Member, IEEE, Soumi Chattopadhayay, Senior Member, IEEE, Chandranath Adak, Senior Member, IEEE, Ayan Dutta

  20. HyperClaim: Fine-Grained Cross-Modal Hypergraph Reasoning for Video Misinformation Detection

    Jul 30, 2026Xiangbo Wang, Jiasheng Zhang, Xingtong Yu +2Fake News DetectionAutomated Fact-Checking

    School of Communication Engineering, Hangzhou Dianzi University · School of Computer Science and Technology, Xidian University · School of Computing and Information Systems, Singapore Management University +1

  21. Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction

    Jul 28, 2026Xinyi Hong, Pinjun Dong, Xinyang Yu +1Tool-Augmented Language Model AgentsLLM Tool Use

    School of Mathematical Sciences, Shanghai Jiao Tong University · Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University

  22. ChemHyperMag: Physics-informed magnetic hypergraph learning improves molecular ADMET prediction

    Jul 19, 2026Hexiao Ding, Hongzhao Chen, Jing Lan +12Graph SSLPhysics-Informed ML

    Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong SAR, China · University of Liverpool, Liverpool, United Kingdom · Shanghai Jiao Tong University, Shanghai, China +1

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

    Jul 17, 2026Zhiheng Zhou, Mengyao Zhou, Yancheng Chen +3Hypergraph Neural NetworksHypergraph Learning

    School of Mathematics and Statistics, Shandong University, Weihai, Shandong 264209, China · Academy of Mathematics and Systems Science, Chinese Academy of Sciences and also with the University of Chinese Academy of Sciences, Beijing 100190, China

  24. Dynamic Manipulation Hypergraphs for HAR: Beyond Pairwise Relations: Dynamic Manipulation Hypergraphs for Vision-Based Human Activity Recognition

    Jul 15, 2026Fatemeh ZiaeetabarHuman Activity RecognitionHypergraph Neural Networks

    Department of Computer Science, School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Tehran, Iran.

  25. Hypergraph Normal World Models for Logical Visual Anomaly Detection

    Jun 24, 2026Weizhi Nie, Zibo Xu, Weijie Wang +1Unsupervised Anomaly DetectionHypergraph Learning

    Tianjin University

  26. A Framework for Directed Acyclic Hypergraph Learning

    Jun 19, 2026Zhiyuan Dong, Carlos Mundo-Levano, Wei Qian +2Structural Causal ModelsCausal Structure Learning

    Institute for Financial Services Analytics, University of Delaware, Newark, DE 19716, USA · Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA · Department of Applied Economics AND Statistics, University of Delaware, Newark, DE 19716, USA +1

  27. Implicit Semantic-Aware Communication Based on Hypergraph Reasoning

    Jun 18, 2026Yiwei Liao, Shurui Tu, Yong Xiao +2Semantic CommunicationHypergraph Learning

    China Electric Power Research Institute Co., Ltd, Wuhan 430074, China, and National Key Laboratory for Power Grid Environmental Protection, Wuhan, China · School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China · Peng Cheng Laboratory, Shenzhen, China +3

  28. Thresholded Local Hyper-Flow Diffusion

    Jun 8, 2026Meher Chaitanya, Sebastian Dalleiger, Luana RuizSubmodular OptimizationGraph Clustering

    KTH Royal Institute of Technology · Stockholm, Sweden 114 28 · Johns Hopkins University +1

  29. Geometric-Aware Hypergraph Reasoning for Novel Class Discovery in Point Cloud Segmentation

    Jun 5, 2026Zihao Zhang, Aming Wu, Yang Li +2Prototype-Based Classification3D Semantic Segmentation

    School of Artificial Intelligence, College of Intelligence and Computing, Tianjin University, China · School of Computer Science and Information Engineering, Hefei University of Technology, China · Department of Computer Science City St George’s, University of London, UK

  30. Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference

    Jun 4, 2026Shengxian Ding, Haonan Gao, Pangpang Liu +2Latent Variable ModelsBayesian Inference

    Department of Biostatistics, Yale University, New Haven, USA