Hypergraph convolution and hypergraph attention

2020/09/14 by Song Bai, Feihu Zhang, Philip H. S. Torr +1 · 764 citations
Computer Science · Mathematics · Neuroscience · #Advanced Graph Neural Networks #Artificial intelligence #Artificial neural network #Brain Tumor Detection and Classification #Computer science #Convolution (computer science) #Discrete mathematics #Graph #Hypergraph #Machine Learning and ELM #Mathematics #Node (physics) #Pairwise comparison #Theoretical computer science

paper · doi:10.1016/j.patcog.2020.107637

published in Pattern Recognition 110, 107637 (Elsevier BV)

openalex publication_date 2020/09/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Citations

• ImageNet classification with deep convolutional neural networks

Cited by

• HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation
• From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks
• DS-HGCN: A Dual-Stream Hypergraph Convolutional Network for Predicting Student Engagement via Social Contagion
• Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
• A Survey on Hypergraph Representation Learning
• Towards Efficient Hypergraph and Multi-LLM Agent Recommender Systems
• HyperADRs: A Hierarchical Hypergraph Framework for Drug-Gene-ADR Prediction
• A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights
• Root Cause Analysis for Microservice Systems via Cascaded Conditional Learning with Hypergraphs
• Hypergraph Dissimilarity Measures
• HyperNQ: A Hypergraph Neural Network Decoder for Quantum LDPC Codes
• Information theory for hypergraph similarity
• Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
• HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
• Rethinking Event-Based Object Detection through Representation-Level Temporal Aggregation and Model-Level Hypergraph Reasoning
• Disentangling Hyperedges through the Lens of Category Theory
• Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
• Deep AI military staff: cooperative battlefield situation awareness for commander’s decision making
• From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere
• Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
• Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching
• Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity
• HyperClaim: Fine-Grained Cross-Modal Hypergraph Reasoning for Video Misinformation Detection
• Heterogeneous co-occurrence embedding for visual information exploration
• Spectrum and local weak convergence of sparse random uniform hypergraphs
• ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting
• Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation
• Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
• HyperDiff: Hypergraph Guided Diffusion Model for 3D Human Pose Estimation
• All the world’s a (hyper)graph: A data drama
• AGP: A Novel Arabidopsis thaliana Genomics-Phenomics Dataset and its HyperGraph Baseline Benchmarking
• DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning
• Implicit Hypergraph Neural Network
• Implicit Hypergraph Neural Networks: A Stable Framework for Higher-Order Relational Learning with Provable Guarantees
• Hypergraph Neural Network with State Space Models for Node Classification
• HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation
• Algebraic Connectivity Reveals Modulated High-Order Functional Networks in Alzheimer's Disease
• HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare
• LP-4P: Link Prediction over Annotated Knowledge Graphs with Four Patterns
• Wasserstein Hypergraph Neural Network
• Higher-Order Graph Databases
• Deep learning reveals hidden interactions in complex systems
• Two-dimensional Taxonomy for N-ary Knowledge Representation Learning Methods
• Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
• Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
• Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
• How Particle System Theory Enhances Hypergraph Message Passing
• Higher-order Structure Boosts Link Prediction on Temporal Graphs
• HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion
• SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs
• Differentiable Lifting for Topological Neural Networks
• Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning
• GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana
• Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
• Weisfeiler and Lehman Go Categorical
• HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network
• Identifying potential association on gene-disease network via dual hypergraph regularized least squares. [europepmc]
• DeepNC: a framework for drug-target interaction prediction with graph neural networks. [europepmc]
• An Evolving Hypergraph Convolutional Network for the Diagnosis of Alzheimer's Disease. [europepmc]
• Hypernetwork Link Prediction Method Based on Fusion of Topology and Attribute Features. [europepmc]
• Transferring chemical and energetic knowledge between molecular systems with machine learning. [europepmc]
• Feature hypergraph representation learning on spatial-temporal correlations for EEG emotion recognition. [europepmc]
• A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. [europepmc]
• Multimodal data integration for oncology in the era of deep neural networks: a review. [europepmc]
• HGATT_LR: transforming review text classification with hypergraphs attention layer and logistic regression. [europepmc]
• Gene expression prediction from histology images via hypergraph neural networks. [europepmc]
• Coupling Fault Diagnosis of Bearings Based on Hypergraph Neural Network. [europepmc]
• Node Classification Method Based on Hierarchical Hypergraph Neural Network. [europepmc]
• GTAT: empowering graph neural networks with cross attention. [europepmc]
• pMHChat, characterizing the interactions between major histocompatibility complex class II molecules and peptides with large language models and deep hypergraph learning. [europepmc]
• Hypergraph Representation Learning with Weighted- and Clustering-Biased Random Walks. [europepmc]
• ONCOPLEX: an oncology-inspired hypergraph model integrating diverse biological knowledge for cancer driver gene prediction. [europepmc]
• A multi-way SMILES-based hypergraph inference network for metabolic model reconstruction. [europepmc]
• Strong Target Attack on Hypergraph Neural Networks via Label Poisoning and Structure Modification. [europepmc]
• [Research on weighted hypergraph attention neural network for the diagnosis of psychiatric disorders using brain functional connectivity networks]. [europepmc]
• Comparing the ability of embedding methods on metabolic hypergraphs for capturing taxonomy-based features. [europepmc]
• Accurate proteome-wide prediction of enzymes and catalytic sites using graph deep learning and protein language model. [europepmc]
• Automated biomedical hypothesis generation with time-aware hypergraph contrastive learning. [europepmc]