Spatiotemporal GNNs

GNN: Graph Neural Network

Overview

Spatiotemporal graph neural networks represent entities such as traffic sensors, body joints, or mesh elements as nodes, and use their connections to model how information changes over time. Common approaches combine graph convolutions or attention with recurrent networks, temporal convolutions, Transformers, or continuous-time models; some also learn changing graph structure or incorporate physical constraints. They are used for traffic forecasting, human-motion prediction, environmental modeling, and simulation, with evaluation ranging from traffic datasets such as METR-LA and PEMS to motion benchmarks such as Human3.6M. A central challenge is balancing accuracy and long-horizon stability with computational cost, while ensuring models generalize across regions, changing conditions, and irregular or sparse observations.

Latest papers

CardsList

148 papers15 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

  1. Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs

    Mar 31, 2026Yuxuan Liu, Wenchao Xu, Haozhao Wang +5Federated Graph LearningDynamic Graph Learning

  2. Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching

    Mar 25, 2026Anjun Gao, Zhenglin Wan, Pingfu Chao +1Spatiotemporal GNNsTrajectory Representation Learning

  3. KGS-GCN: Kinematics-Driven Gaussian Splatting and Probabilistic Topology for Skeleton-Based Action Recognition

    Mar 16, 2026Yuhan Chen, Yicui Shi, Guofa Li +4Skeleton-Based Action RecognitionHuman Activity Recognition

  4. A Multi-Scale Graph Learning Framework with Temporal Consistency Constraints for Financial Fraud Detection in Transaction Networks under Non-Stationary Conditions

    Mar 15, 2026Yiming Lei, Qiannan Shen, Junhao SongFinancial Fraud DetectionSpatiotemporal GNNs

  5. STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks

    Mar 15, 2026Sungwoo KangSpatiotemporal GNNsPrecision Agriculture

  6. Graph-Based Deep Learning for Intelligent Detection of Energy Losses, Theft, and Operational Inefficiencies in Oil & Gas Production Networks

    Mar 15, 2026AbdulQoyum A. Olowookere, Adewale U. Oguntola, Ebenezer. Leke OdekanleIndustrial Anomaly DetectionAnomaly Detection

  7. ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance

    Mar 14, 2026Mohsin Mahmud Topu, Azmine Toushik Wasi, Mahfuz Ahmed Anik +1Predictive MaintenanceSpatiotemporal GNNs

  8. MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction

    Mar 13, 2026Andrii Shchur, Inna Skarga-BandurovaWeather ForecastingGraph Neural Networks

  9. Competition-Aware CPC Forecasting with Near-Market Coverage

    Mar 13, 2026Sebastian Frey, Edoardo Beccari, Maximilian Kranz +4Competitive AnalysisOnline Advertising

  10. VisiFold: Long-Term Traffic Forecasting via Temporal Folding Graph and Node Visibility

    Mar 12, 2026Zhiwei Zhang, Xinyi Du, Weihao Wang +2Traffic ForecastingLong-Term Time Series Forecasting

  11. Deep Learning Network-Temporal Models For Traffic Prediction

    Mar 12, 2026Yufeng Xin, Ethan FanMultivariate Time Series ForecastingLLM-Based Time Series Forecasting

  12. Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention

    Mar 11, 2026Kosti Koistinen, Kirsi Hellsten, Joni Herttuainen +1Industrial Anomaly DetectionIndustrial Control System Security

  13. SketchGraphNet: A Memory-Efficient Hybrid Graph Transformer for Large-Scale Sketch Corpora Recognition

    Mar 8, 2026Shilong Chen, Mingyuan Li, Zhaoyang Wang +2Memory-Efficient AttentionGraph Transformer

  14. A Dual-Graph Spatiotemporal GNN Surrogate for Nonlinear Response Prediction of Reinforced Concrete Beams under Four-Point Bending

    Mar 7, 2026Zhaoyang Ren, Qilin LiNeural Surrogate ModelingSpatiotemporal GNNs

  15. Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations

    Mar 6, 2026Alejandro J. González-Santana, Giovanny A. Cuervo-Londoño, Javier SánchezProbabilistic Time Series ForecastingDeep Ensembles

  16. Tensegrity Robot Endcap-Ground Contact Estimation with Symmetry-aware Heterogeneous Graph Neural Network

    Mar 3, 2026Wenzhe Tong, Yicheng Jiang, Chi Zhang +2Tensegrity RoboticsRobotics

  17. FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting

    Mar 2, 2026Abderaouf Bahi, Amel Ourici, Ibtissem Gasmi +3Source-Free Domain AdaptationContinual Test-Time Adaptation

  18. Dynamic Spatio-Temporal Graph Neural Network for Early Detection of Pornography Addiction in Adolescents Based on Electroencephalogram Signals

    Feb 28, 2026Achmad Ardani Prasha, Clavino Ourizqi Rachmadi, Sabrina Laila Mutiara +3Spatiotemporal GNNs

  19. Learning global river system hydrodynamics with a topology-informed foundation model

    Feb 25, 2026Hancheng Ren, Gang Zhao, Shuo Wang +12HydrologyStreamflow Forecasting

  20. Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction

    Feb 25, 2026Runfei ChenTraffic ForecastingSpatiotemporal GNNs

  21. Securing Time Integrity in Energy IoT Against Clock Drift and Y2K38 Failures

    Jan 30, 2026Saeid Jamshidi, Foutse Khomh, Carol Fung +2Time-Series Anomaly DetectionSpatiotemporal GNNs

  22. JaGNet: Detection, Identification and Position Error Correction of GNSS Jamming with Deep Temporal Graphs

    Sep 17, 2025Ivana Kesić, Aljaž Blatnik, Carolina Fortuna +1Spatiotemporal GNNs

  23. Efficient Traffic State Prediction With Dynamic Joint Spatio-Temporal Relation Inference

    Apr 10, 2025Zhifeng Hao, Kai Hu, Juncai Zhang +2Temporal Convolutional NetworksDynamic Graph Learning

  24. Information propagation dynamics in Deep Graph Networks

    Oct 14, 2024Alessio GravinaGraph Neural NetworksGraph Representation Learning

  25. GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition

    Mar 22, 2024Lei Jiang, Weixin Yang, Xin Zhang +1Skeleton-Based Action RecognitionHuman Activity Recognition

  26. Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

    Oct 28, 2021Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios GavvesDynamical SystemsEquivariant GNNs