{"total":122,"rows":[{"id":"2202.11097","title":"Message passing all the way up","created":"2022-02-22","cited_by_count":47,"area":null},{"id":"2207.06680","title":"Equivariant Hypergraph Diffusion Neural Operators","created":"2022-07-14","cited_by_count":47,"area":null},{"id":"2304.10031","title":"Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks","created":"2023-04-20","cited_by_count":43,"area":null},{"id":"2307.08623","title":"HYTREL: Hypergraph-enhanced Tabular Data Representation Learning","created":"2023-07-14","cited_by_count":36,"area":null},{"id":"2209.08179","title":"Cell Attention Networks","created":"2022-09-16","cited_by_count":35,"area":null},{"id":"2309.17116","title":"Sheaf Hypergraph Networks","created":"2023-09-29","cited_by_count":34,"area":null},{"id":"2210.03801","title":"Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative","created":"2022-10-07","cited_by_count":29,"area":null},{"id":"2306.02866","title":"Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance","created":"2023-06-05","cited_by_count":26,"area":null},{"id":"2406.06642","title":"TopoBench: A Framework for Benchmarking Topological Deep Learning","created":"2024-06-09","cited_by_count":24,"area":null},{"id":"2404.01039","title":"A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide","created":"2024-04-01","cited_by_count":23,"area":null},{"id":"2206.04739","title":"I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs","created":"2022-06-09","cited_by_count":21,"area":null},{"id":"2306.09623","title":"From Hypergraph Energy Functions to Hypergraph Neural Networks","created":"2023-06-16","cited_by_count":18,"area":null},{"id":"2203.16939","title":"Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs","created":"2022-03-31","cited_by_count":16,"area":null},{"id":"2404.00638","title":"HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs","created":"2024-03-31","cited_by_count":16,"area":null},{"id":"2310.07684","title":"Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design","created":"2023-10-11","cited_by_count":15,"area":null},{"id":"2208.10428","title":"Equivariant Hypergraph Neural Networks","created":"2022-08-22","cited_by_count":14,"area":null},{"id":"2306.03032","title":"Classification of Edge-dependent Labels of Nodes in Hypergraphs","created":"2023-06-05","cited_by_count":14,"area":null},{"id":"2201.12113","title":"HEAT: Hyperedge Attention Networks","created":"2022-01-28","cited_by_count":13,"area":null},{"id":"2203.16995","title":"Message Passing Neural Networks for Hypergraphs","created":"2022-03-31","cited_by_count":13,"area":null},{"id":"2502.18125","title":"HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge","created":"2025-02-25","cited_by_count":11,"area":null},{"id":"2208.05470","title":"EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction","created":"2022-08-10","cited_by_count":10,"area":null},{"id":"2211.01717","title":"Learning Hypergraphs From Signals With Dual Smoothness Prior","created":"2022-11-03","cited_by_count":9,"area":null},{"id":"2212.14077","title":"A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings","created":"2022-12-28","cited_by_count":9,"area":null},{"id":"2507.19726","title":"HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare","created":"2025-07-26","cited_by_count":9,"area":null},{"id":"2208.12547","title":"Deep Hypergraph Structure Learning","created":"2022-08-26","cited_by_count":7,"area":null},{"id":"2210.07309","title":"SHINE: SubHypergraph Inductive Neural nEtwork","created":"2022-10-13","cited_by_count":7,"area":null},{"id":"2305.12349","title":"PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation","created":"2023-05-21","cited_by_count":7,"area":null},{"id":"2309.15188","title":"ICML 2023 Topological Deep Learning Challenge : Design and Results","created":"2023-09-26","cited_by_count":7,"area":null},{"id":"2312.11385","title":"Hypergraph Transformer for Semi-Supervised Classification","created":"2023-12-18","cited_by_count":7,"area":null},{"id":"2402.05569","title":"Training-Free Message Passing for Learning on Hypergraphs","created":"2024-02-08","cited_by_count":7,"area":null},{"id":"2402.07309","title":"HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs","created":"2024-02-11","cited_by_count":7,"area":null},{"id":"2404.00477","title":"DE-HNN: An effective neural model for Circuit Netlist representation","created":"2024-03-30","cited_by_count":7,"area":null},{"id":"2404.11825","title":"Hypergraph Self-supervised Learning with Sampling-efficient Signals","created":"2024-04-18","cited_by_count":7,"area":null},{"id":"2406.10061","title":"TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data","created":"2024-06-14","cited_by_count":7,"area":null},{"id":"2503.07959","title":"Recent Advances in Hypergraph Neural Networks","created":"2025-03-11","cited_by_count":7,"area":null},{"id":"2512.00947","title":"Table as a Modality for Large Language Models","created":"2025-11-30","cited_by_count":7,"area":null},{"id":"2306.11147","title":"CAT-Walk: Inductive Hypergraph Learning via Set Walks","created":"2023-06-19","cited_by_count":6,"area":null},{"id":"2308.14172","title":"A Markov Random Field model for Hypergraph-based Machine Learning","created":"2023-08-27","cited_by_count":5,"area":null},{"id":"2312.09778","title":"Hypergraph-MLP: Learning on Hypergraphs without Message Passing","created":"2023-12-15","cited_by_count":5,"area":null},{"id":"2402.04296","title":"LightHGNN: Distilling Hypergraph Neural Networks into MLPs for $100\\times$ Faster Inference","created":"2024-02-06","cited_by_count":5,"area":null},{"id":"2503.01203","title":"Hypergraph Foundation Model","created":"2025-03-03","cited_by_count":5,"area":null},{"id":"2508.12244","title":"DHG-Bench: A Comprehensive Benchmark for Deep Hypergraph Learning","created":"2025-08-17","cited_by_count":5,"area":null},{"id":"2511.08590","title":"GMTRouter: Personalized LLM Router over Multi-turn User Interactions","created":"2025-10-29","cited_by_count":5,"area":null},{"id":"2308.01650","title":"UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification","created":"2023-08-03","cited_by_count":4,"area":null},{"id":"2404.00060","title":"Temporal Graph Networks for Graph Anomaly Detection in Financial Networks","created":"2024-03-27","cited_by_count":4,"area":null},{"id":"2406.12841","title":"Demystifying Higher-Order Graph Neural Networks","created":"2024-06-18","cited_by_count":4,"area":null},{"id":"2502.13277","title":"HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2510.04727","title":"Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs","created":"2025-10-06","cited_by_count":4,"area":null},{"id":"2303.06213","title":"CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network","created":"2023-03-10","cited_by_count":3,"area":null},{"id":"2405.16616","title":"DPHGNN: A Dual Perspective Hypergraph Neural Networks","created":"2024-05-26","cited_by_count":3,"area":null},{"id":"2410.03208","title":"SPHINX: Structural Prediction using Hypergraph Inference Network","created":"2024-10-04","cited_by_count":3,"area":null},{"id":"2502.05827","title":"HyGEN: Regularizing Negative Hyperedge Generation for Accurate Hyperedge Prediction","created":"2025-02-09","cited_by_count":3,"area":null},{"id":"2502.10689","title":"Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction","created":"2025-02-15","cited_by_count":3,"area":null},{"id":"2505.05702","title":"Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning","created":"2025-05-09","cited_by_count":3,"area":null},{"id":"2508.06587","title":"Hypergraph Neural Network with State Space Models for Node Classification","created":"2025-08-08","cited_by_count":3,"area":null},{"id":"2603.15696","title":"Tackling Over-smoothing on Hypergraphs: A Ricci Flow-guided Neural Diffusion Approach","created":"2026-03-16","cited_by_count":3,"area":null},{"id":"2306.05108","title":"Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs","created":"2023-06-08","cited_by_count":2,"area":null},{"id":"2309.05798","title":"Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning","created":"2023-09-11","cited_by_count":2,"area":null},{"id":"2310.09657","title":"Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation","created":"2023-10-14","cited_by_count":2,"area":null},{"id":"2312.00336","title":"Hypergraph Node Representation Learning with One-Stage Message Passing","created":"2023-12-01","cited_by_count":2,"area":null},{"id":"2402.11339","title":"Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking","created":"2024-02-17","cited_by_count":2,"area":null},{"id":"2405.14286","title":"Modeling Edge-Specific Node Features through Co-Representation Neural Hypergraph Diffusion","created":"2024-05-23","cited_by_count":2,"area":null},{"id":"2405.16511","title":"SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning","created":"2024-05-26","cited_by_count":2,"area":null},{"id":"2501.12554","title":"Generalization Performance of Hypergraph Neural Networks","created":"2025-01-22","cited_by_count":2,"area":null},{"id":"2508.03104","title":"HiTeC: Hierarchical Contrastive Learning on Text-Attributed Hypergraph with Semantic-Aware Augmentation","created":"2025-08-05","cited_by_count":2,"area":null},{"id":"2602.14919","title":"BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs","created":"2026-02-16","cited_by_count":2,"area":null},{"id":"2603.00599","title":"Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger","created":"2026-02-28","cited_by_count":2,"area":null},{"id":"2310.01272","title":"A Unified View on Neural Message Passing with Opinion Dynamics for Social Networks","created":"2023-10-02","cited_by_count":1,"area":null},{"id":"2406.16552","title":"Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs","created":"2024-06-24","cited_by_count":1,"area":null},{"id":"2408.14381","title":"Learning Tree-Structured Composition of Data Augmentation","created":"2024-08-26","cited_by_count":1,"area":null},{"id":"2410.06969","title":"DLGNet: Hyperedge Classification through Directed Line Graphs for Chemical Reactions","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2410.07764","title":"Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts","created":"2024-10-10","cited_by_count":1,"area":null},{"id":"2510.21462","title":"Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification","created":"2025-10-24","cited_by_count":1,"area":null},{"id":"2601.05330","title":"Improving Enzyme Prediction with Chemical Reaction Equations by Hypergraph-Enhanced Knowledge Graph Embeddings","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2602.06787","title":"Weisfeiler and Lehman Go Categorical","created":"2026-02-06","cited_by_count":1,"area":null},{"id":"2602.14602","title":"OPBench: A Graph Benchmark to Combat the Opioid Crisis","created":"2026-02-16","cited_by_count":1,"area":null},{"id":"2603.10180","title":"DT-BEHRT: Disease Trajectory-aware Transformer for Interpretable Patient Representation Learning","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2605.08825","title":"Rethinking Event-Based Object Detection through Representation-Level Temporal Aggregation and Model-Level Hypergraph Reasoning","created":"2026-05-09","cited_by_count":1,"area":null},{"id":"2605.17316","title":"Learning Higher-Order Interactions from Incomplete Spatiotemporal Data with Mixtures of Hypergraph Laplacians","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2606.07218","title":"HKVM-RAG: Key-Value-Separated Hypergraph Evidence Organization for Multi-Hop RAG","created":"2026-06-05","cited_by_count":1,"area":null},{"id":"2211.07645","title":"Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets","created":"2022-11-14","cited_by_count":0,"area":null},{"id":"2401.15587","title":"Hyperedge Interaction-aware Hypergraph Neural Network","created":"2024-01-28","cited_by_count":0,"area":null},{"id":"2404.03434","title":"Learning From Simplicial Data Based on Random Walks and 1D Convolutions","created":"2024-04-04","cited_by_count":0,"area":null},{"id":"2408.05160","title":"Federated Hypergraph Learning with Local Differential Privacy: Toward Privacy-Aware Hypergraph Structure Completion","created":"2024-08-09","cited_by_count":0,"area":null},{"id":"2409.17628","title":"Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs","created":"2024-09-26","cited_by_count":0,"area":null},{"id":"2412.05641","title":"Hyperedge Anomaly Detection with Hypergraph Neural Network","created":"2024-12-07","cited_by_count":0,"area":null},{"id":"2503.07961","title":"Overlap-aware meta-learning attention to enhance hypergraph neural networks for node classification","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2503.12365","title":"HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks","created":"2025-03-16","cited_by_count":0,"area":null},{"id":"2503.12978","title":"Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach","created":"2025-03-17","cited_by_count":0,"area":null},{"id":"2504.00522","title":"MARIOH: Multiplicity-Aware Hypergraph Reconstruction","created":"2025-04-01","cited_by_count":0,"area":null},{"id":"2505.12894","title":"HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion","created":"2025-05-19","cited_by_count":0,"area":null},{"id":"2505.18505","title":"How Particle System Theory Enhances Hypergraph Message Passing","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2506.09682","title":"Wasserstein Hypergraph Neural Network","created":"2025-06-11","cited_by_count":0,"area":null},{"id":"2507.12562","title":"Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases","created":"2025-07-16","cited_by_count":0,"area":null},{"id":"2508.14101","title":"Implicit Hypergraph Neural Network","created":"2025-08-16","cited_by_count":0,"area":null},{"id":"2508.14934","title":"AGP: A Novel Arabidopsis thaliana Genomics-Phenomics Dataset and its HyperGraph Baseline Benchmarking","created":"2025-08-19","cited_by_count":0,"area":null},{"id":"2508.17236","title":"Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks","created":"2025-08-24","cited_by_count":0,"area":null},{"id":"2510.16289","title":"Disentangling Hyperedges through the Lens of Category Theory","created":"2025-10-18","cited_by_count":0,"area":null},{"id":"2511.18783","title":"Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2602.04360","title":"Counterfactual Explanations for Hypergraph Neural Networks","created":"2026-02-04","cited_by_count":0,"area":null}],"next_cursor":"100"}