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Hypergraph Convolutional Recurrent Neural Network

https://doi.org/10.1145/3394486.3403389
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.energy.2019.115883openalex-snapshot
Physics-induced graph neural network: An application to wind-farm power estimation
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot
node2vec
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-snapshot
XGBoost
inferredcites →https://doi.org/10.1609/aaai.v31i1.10735openalex-snapshot
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
inferredcites →https://doi.org/10.1609/aaai.v32i1.11266openalex-snapshot
Structural Deep Embedding for Hyper-Networks
inferredcites →https://doi.org/10.1609/aaai.v32i1.11836openalex-snapshot
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
inferredcites →https://doi.org/10.1609/aaai.v33i01.33011409openalex-snapshot
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013558openalex-snapshot
Hypergraph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015668openalex-snapshot
Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
inferredcites →https://doi.org/10.24963/ijcai.2018/505openalex-snapshot
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
inferredcites →https://doi.org/10.24963/ijcai.2019/366openalex-snapshot
Dynamic Hypergraph Neural Networks
inferredcites →https://doi.org/10.3390/ijgi8090414openalex-snapshot
Incorporating Graph Attention and Recurrent Architectures for City-Wide Taxi Demand Prediction
inferredcites →https://doi.org/10.48550/arxiv.1506.04214openalex-snapshot
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
inferredcites →https://doi.org/10.48550/arxiv.1802.09691openalex-snapshot
Link Prediction Based on Graph Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1902.09641openalex-snapshot
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0205openalex-snapshot
Learning with Hypergraphs: Clustering, Classification, and Embedding

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Message Passing Neural Networks for Hypergraphs
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H$$^2$$-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting
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Multi-hypergraph Neural Networks for Emotion Recognition in Multi-party Conversations
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Vector knowledge transfer-driven representation learning for heterogeneous hypernetworks
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Enhanced edge convolution-based spatial-temporal network for network traffic prediction
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Periodicity aware spatial-temporal adaptive hypergraph neural network for traffic forecasting
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Heterogeneous hypergraph learning for literature retrieval based on citation intents
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Advancing VANET stability: enhanced cluster head selection with iTTM and weighted CRITIC
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Survey on Hypergraph Algorithms: Foundations, Advances, and Applications in Cloud Computing
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Hypergraph-based multi-scale spatio-temporal graph convolution network for traffic forecasting
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Recent Advances in Hypergraph Neural Networks
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Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit
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Hypergraph convolutional networks with multi-ordering relations for cross-document event coreference resolution
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Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113163openalex-snapshot
SHKD: A framework for traffic prediction based on Sub-Hypergraph and Knowledge Distillation
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106549openalex-snapshot
Adaptive Decision Spatio-temporal neural ODE for traffic flow forecasting with Multi-Kernel Temporal Dynamic Dilation Convolution
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Knowledge graph confidence-aware embedding for recommendation
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Traffic Anomaly Detection based on Spatio-Temporal Hypergraph Convolution Neural Networks
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Learning dynamic interaction for multimodal transportation systems: A joint passenger flow prediction approach based on spatiotemporal hypergraph convolution networks
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A multi-way SMILES-based hypergraph inference network for metabolic model reconstruction
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DeepHGNN: A Novel Deep Hypergraph Neural Network
inferred← citeshttps://doi.org/10.1049/ipr2.13103openalex-snapshot
HGSNet: A hypergraph network for subtle lesions segmentation in medical imaging
inferred← citeshttps://doi.org/10.1080/1206212x.2022.2133805openalex-snapshot
A review of challenges and solutions in the design and implementation of deep graph neural networks
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Neural-symbolic federated enhanced human resource intelligent decision-making system: integration of multimodal causal reasoning and quantum privacy computation
inferred← citeshttps://doi.org/10.1101/2023.10.01.560404openalex-snapshot
PhyGCN: Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning
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A Recommendation Method Based on Multi-Source Heterogeneous Hypergraphs and Contrastive Learning
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Hypergraph Neural Networks for Time-series Forecasting
inferred← citeshttps://doi.org/10.1109/bigdia63733.2024.10808911openalex-snapshot
Enhancing Temporal Dynamics and Hypergraph Convolutions for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/hpca61900.2025.00073openalex-snapshot
MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095151openalex-snapshot
Dual-Stage Graph Convolution Network With Graph Learning For Traffic Prediction
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00167openalex-snapshot
Dynamic Hypergraph Convolutional Network
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Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00096openalex-snapshot
THINK: Temporal Hypergraph Hyperbolic Network
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Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction
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A Sparse Sinkhorn Transformer for Multi-Behaviour Recommendation
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Hierarchical Dynamic Graph Convolutional Network for Spatio-Temporal Forecasting
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Protect NTN-IoT Security by Malicious Traffic Detection: A Multidimensional Hypergraph Learning Approach
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Adaptive Spatio-Temporal Graph Information Fusion for Remaining Useful Life Prediction
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Pairwise and Hyper-correlations Based Spatiotemporal Neural Networks for Traffic Speed Predictions
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Geometric Algebra Multi-Order Graph Neural Network for Traffic Prediction
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BrainyHGNN: Brain-Inspired Memory Retrieval and Cross-Modal Interaction for Emotion Recognition in Conversations
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MGCL: Multiorder Graph Neural Network With Cross-Learning for Multivariate Time-Series Anomaly Detection
inferred← citeshttps://doi.org/10.1109/tim.2025.3635315openalex-snapshot
DHIG: A Dynamic Hypergraph and Informer–GRU Framework for Flotation Grade Prediction in Industrial Processes
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OST-HGCN: Optimized Spatial-Temporal Hypergraph Convolution Network for Trajectory Prediction
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Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework
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Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting
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Fairness-Aware Hypergraph Self-Supervised Learning With Sampling-Efficient Signals
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Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting
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Joint Short-Term Origin-Destination Demand Prediction for Multimodal Transport Systems
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Modeling Information Diffusion With Sequential Interactive Hypergraphs
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Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction
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Automatically Discovering User Consumption Intents in Meituan
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Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
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A Flash Attention Transformer for Multi-Behaviour Recommendation
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MHG-ERC: Multi-hypergraph Feature Aggregation Network for Emotion Recognition in Conversations
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Behavior-Aware Hypergraph Convolutional Network for Illegal Parking Prediction with Multi-Source Contextual Information
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Hyperedge Importance Estimation via Identity-aware Hypergraph Attention Network
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STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts
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Hypergraph Neural Network for Emotion Recognition in Conversations
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DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs
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Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting
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Fast and Accurate Temporal Hypergraph Representation for Hyperedge Prediction
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MixRec: Heterogeneous Graph Collaborative Filtering
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MSHTrans: Multi-Scale Hypergraph Transformer with Time-Series Decomposition for Temporal Anomaly Detection
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Multi-Relation Enhanced Dynamic Hypergraph for Session-based Recommendation
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DASH: Disaster-Aware Social-Semantic Enhanced Hypergraph Convolution Network for Human Mobility Forecasting
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Advancing deformation calculation: a physics-informed deep graph learning framework for hyperelastic materials
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DIAGNOSIS OF KIDNEY CYST, TUMOR AND STONE FROM CT SCAN IMAGESUSING FEATURE FUSION HYPERGRAPH CONVOLUTIONAL NEURAL NETWORK (F2HCN2)
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Spatiotemporal Synchronous Multiscale Frequency-Domain Hypergraph Convolutional Network for Traffic Flow Predictions
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Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
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HGATGS: Hypergraph Attention Network for Crop Genomic Selection
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Multi-Hypergraph Neural Networks for Emotion Recognition in Multi-Party Conversations
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HyMePre: A Spatial–Temporal Pretraining Framework with Hypergraph Neural Networks for Short-Term Weather Forecasting
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Traffic Flow Prediction Based on Hypergraph Transformer: A Case Study in Huangmaohai Cross-Sea Corridor
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Finding Set Extreme 3-Uniform Hypergraphs Cardinality through Second-Order Signatures
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Using Recurrent Neural Network to Optimize Electronic Nose System with Dimensionality Reduction
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TCM disease diagnosis based on convolutional cyclic neural network algorithm
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