mlsanityData to 7 Oct 2026

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

arXiv 2011.00387 ↗First posted 1 Nov 2020cs.CLcited by 73

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Abstract (arXiv)

Text classification is a critical research topic with broad applications in natural language processing. Recently, graph neural networks (GNNs) have received increasing attention in the research community and demonstrated their promising results on this canonical task. Despite the success, their performance could be largely jeopardized in practice since they are: (1) unable to capture high-order interaction between words; (2) inefficient to handle large datasets and new documents. To address those issues, in this paper, we propose a principled model -- hypergraph attention networks (HyperGAT), which can obtain more expressive power with less computational consumption for text representation learning. Extensive experiments on various benchmark datasets demonstrate the efficacy of the proposed approach on the text classification task.

Key facts. Cited by 73 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Nov 2020.

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Citing papers per year: 2021: 8; 2022: 17; 2023: 14; 2024: 13; 2025: 13; 2026: 8.

73 papers.

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  1. 2022Data Augmentation for Deep Graph Learning: A Surveycited by 132
  2. 2021You are AllSet: A Multiset Function Framework for Hypergraph Neural Networkscited by 124
  3. 2023Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networkscited by 43
  4. 2021Graph Few-shot Class-incremental Learningcited by 40
  5. 2022Hypergraph Transformer for Skeleton-based Action Recognitioncited by 36
  6. 2022Learning Causal Effects on Hypergraphscited by 31
  7. 2022HEGEL: Hypergraph Transformer for Long Document Summarizationcited by 28
  8. 2024Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learningcited by 21
  9. 2024Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structurescited by 20
  10. 2022Preventing Over-Smoothing for Hypergraph Neural Networkscited by 19
  11. 2021Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLPcited by 17
  12. 2023From Hypergraph Energy Functions to Hypergraph Neural Networkscited by 17
38 more
  1. 2022HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Networkcited by 16
  2. 2021Sparse Structure Learning via Graph Neural Networks for Inductive Document Classificationcited by 15
  3. 2022Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphscited by 15
  4. 2023Graph Neural Networks for Text Classification: A Surveycited by 15
  5. 2022Equivariant Hypergraph Neural Networkscited by 14
  6. 2021Hierarchical Heterogeneous Graph Representation Learning for Short Text Classificationcited by 13
  7. 2024Graph Neural Networks in Histopathology: Emerging Trends and Future Directionscited by 13
  8. 2021Cross-lingual Text Classification with Heterogeneous Graph Neural Networkcited by 12
  9. 2022Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasetscited by 11
  10. 2021Adaptive Neural Message Passing for Inductive Learning on Hypergraphscited by 10
  11. 2023HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformercited by 8
  12. 2022SHINE: SubHypergraph Inductive Neural nEtworkcited by 7
  13. 2023ICML 2023 Topological Deep Learning Challenge : Design and Resultscited by 7
  14. 2025Recent Advances in Hypergraph Neural Networkscited by 7
  15. 2022Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networkscited by 6
  16. 2023CAT-Walk: Inductive Hypergraph Learning via Set Walkscited by 6
  17. 2022DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Predictioncited by 5
  18. 2023On the Expressiveness and Generalization of Hypergraph Neural Networkscited by 5
  19. 2024Reconstructing short-lived particles using hypergraph representation learningcited by 4
  20. 2024Hierarchical Attention Graph for Scientific Document Summarization in Global and Local Levelcited by 4
  21. 2025HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Viewscited by 4
  22. 2022Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networkscited by 3
  23. 2024Modularity Based Community Detection in Hypergraphscited by 3
  24. 2025Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guaranteescited by 3
  25. 2022A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Processcited by 2
  26. 2023Seq-HyGAN: Sequence Classification via Hypergraph Attention Networkcited by 2
  27. 2023Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learningcited by 2
  28. 2023Enhancing Language Representation with Constructional Information for Natural Language Understandingcited by 2
  29. 2023Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learningcited by 2
  30. 2024CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Modelcited by 2
  31. 2024Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculationcited by 2
  32. 2021Classification of hierarchical text using geometric deep learning: the case of clinical trials corpuscited by 1
  33. 2022Are We Really Making Much Progress in Text Classification? A Comparative Reviewcited by 1
  34. 2023Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networkscited by 1
  35. 2024Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide Imagescited by 1
  36. 2025Post-interactive Multimodal Trajectory Prediction for Autonomous Drivingcited by 1
  37. 2025Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methodscited by 1
  38. 2022Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual Propertycited by 0

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