Spatiotemporal GNNs

GNN: Graph Neural Network

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12 papers in the last four weeks, up 300% on the four weeks before. 0.1% of all new papers.

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  1. Reconstructing GRACE Terrestrial Water Storage with Spatio-Temporal Graph Neural Networks: An Application to South America

    Jun 22, 2026Lukas Arzoumanidis, Lara Johannsen, Klara Middendorf +2Climate ScienceSpatiotemporal GNNs

    HafenCity University, Computational Methods Lab Hamburg, Germany · HafenCity University, Geodesy and Adjustment Theory Hamburg, Germany · GFZ Helmholtz Centre for Geosciences, Global Geomonitoring and Gravity Field Potsdam, Germany

  2. Structure-Aware Graph Multi-Task Learning for Dynamic Sparse OD Demand Prediction

    Jun 19, 2026Ming Xu, Jiawei CaoIntelligent Transportation SystemsMulti-Task Learning

    Software College, Liaoning Technical University, Huludao, Liaoning 125100, China

  3. P-K-GCN: Physics-augmented Koopman-enhanced Graph Convolutional Network for Deep Spatiotemporal Super-resolution

    Jun 17, 2026Xizhuo, Zhang, Zekai Wang +2Physics-Informed MLSpatiotemporal GNNs

    Cici · Department of Industrial & Systems Engineering, The University of Tennessee, Knoxville, TN, USA, 37996 · Charles F. Dolan School of Business, Fairfield University, Fairfield, USA +1

  4. INDEQS: Informed Neural controlled Differential EQuationS

    Jun 17, 2026Michael Detzel, Gabriel Nobis, Kristiyan Blagov +3Neural Controlled Differential EquationsSpatiotemporal Forecasting

    Fraunhofer Heinrich Hertz Institute · Technische Universität Berlin

  5. Multi-Modal Spatio-Temporal Graph Neural Network with Mixture of Experts for Soil Organic Carbon Prediction

    Jun 15, 2026Daniele Mos, Felipe Drummond, Anton Bossenbroek +1Agricultural Remote SensingHeterogeneous GNNs

    Spatialise B.V.

  6. Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection

    Jun 15, 2026Jianli Dai, Guangwei Wu, Jiacheng Li +3Temporal GNNsGraph SSL

    Central South University of Forestry and Technology, School of Computer Science and Mathematics, Changsha, 410004, Hunan, P.R. China · Central South University, School of Computer Science and Engineering, Changsha, 410083, Hunan, P.R. China

  7. Continuous Cross-Domain Traffic State Prediction via Memory-Augmented Graph Liquid Time-Constant Networks

    Jun 14, 2026Jinrong Xiang, Ming XuCross-Domain Transfer LearningSpatiotemporal Forecasting

    Software College, Liaoning Technical University, Huludao, Liaoning 125100, China

  8. A Comparative Study of Graph Neural Network Layer Selection for Interaction Modelling in Driving Trajectory Prediction

    Jun 12, 2026George Daoud, Mohamed El-DariebyGraph Neural NetworksMulti-Agent Trajectory Prediction

    Ontario Tech University, Oshawa, ON, Canada · Assiut University, Assiut, Egypt

  9. MP3: Multi-Period Pattern Pre-training for Spatio-Temporal Forecasting

    Jun 11, 2026Lilan Peng, Yandi Liu, Qingren Yao +2Spatiotemporal ForecastingMultiscale Time-Series Modeling

    School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 611756, China · Eindhoven University of Technology, Eindhoven 5612 AZ, Netherlands

  10. COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting

    Jun 9, 2026Zesheng Liu, Maryam RahnemoonfarNeural Surrogate ModelingLong-Term Time Series Forecasting

    Lehigh University · Bethlehem, Pennsylvania, USA

  11. Analog Quantum Asynchronous Event-Based Graph Neural Network

    Jun 9, 2026Kristian Sotirov, Shaheen Acheche, Antonio A. Gentile +1Graph Neural NetworksQuantum Neural Networks

    King’s Communications, Learning and Information Processing (KCLIP) lab within the Centre for Intelligent Information Processing Systems (CIIPS) at the Department of Engineering, King’s College London, London, WC2R 2LS, UK · Pasqal SAS, 24 Av. Emile Baudot, 91120 Palaiseau, France · Institute for Intelligent Networked Systems (INSI), Northeastern University London, One Portsoken Street, London E1 8PH, United Kingdom

  12. Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

    Jun 9, 2026Manuel Ricardo Guevara Garban, Yves Chemisky, Étienne Prulière +3Neural Surrogate ModelingStructural Mechanics

    Univ. Bordeaux, CNRS, Bordeaux INP, I2M, UMR 5295, Talence, France · Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, Talence, France · Institute of Mechanics and Fluid Dynamics, TU Bergakademie Freiberg, Freiberg, 09599, Germany +2

  13. Spatiotemporal Graph Transformer for 3D Neighborhood Interaction and Quality Prediction in Metal Additive Manufacturing

    Jun 8, 2026Joyce Karen Pelaez, Siqi Zhang, Hoo Sang KoAdditive ManufacturingMultimodal Graph Learning

    Department of Industrial Engineering, Southern Illinois University Edwardsville, Box 1805, Edwardsville, 62026, IL, USA.

  14. Efficient Traffic Prediction at Scale: A Systematic Study of STGCN Architectural Depth

    Jun 8, 2026Soban Nasir Lone, Mohamed Abouelela, Taeyoung Yu +2Efficient Neural Network InferenceIntelligent Transportation Systems

    Technical University of Munich Munich, Germany · The University of Queensland Brisbane, Australia

  15. Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems

    Jun 8, 2026Karn Tiwari, Niladri Dutta, N M Anoop Krishnan +1Latent Dynamics ModelingSpatiotemporal GNNs

    Department of Electrical Communication Engineering Indian Institute of Science, Bangalore Bengaluru, 560012, India · Department of Computer Science and Automation Indian Institute of Science, Bangalore Bengaluru, 560012, India · Yardi School of Artificial Intelligence Indian Institute of Technology, Delhi New Delhi, 110016, India

  16. Crop Recommendation and Agricultural Query Answering System Using Spatio-Temporal Graph Neural Networks and Hybrid Retrieval Augmentation

    Jun 8, 2026Prajwal Thapa, Yagya Raj PandeyaQuestion AnsweringPrecision Agriculture

    Kathmandu University Dhulikhel, Nepal

  17. STELLAR: Spatio-Temporal Environmental Learning with Latent Alignment and Refinement for Long-Tailed Species Distribution Modeling

    Jun 7, 2026Shufeng Kong, Tao Yu, Yuanyuan Wei +6Spatiotemporal GNNs

    School of Software Engineering, Sun Yat-sen University, Zhuhai, China · School of Computer Science and Artificial Intelligence, Foshan University, Foshan, China · Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA +2

  18. Vessel Traffic Flow Prediction on Sparse Data via Spatio-Temporal Graph Neural Networks with a Learnable Tweedie Head

    Jun 5, 2026Kyeongjun Lee, Heeyoung KimSpatiotemporal ForecastingSpatiotemporal GNNs

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

  19. HDST-GNN: Heterogeneous Dynamic Spatiotemporal Graph Neural Networks for Multi-Object Tracking in UAV Aerial Imagery

    Jun 4, 2026Phillip JiangHeterogeneous GNNsVisual Object Tracking

    Appsofa LLC

  20. CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting

    Jun 3, 2026Zhaoqi Zhang, Miao Xie, Yi Li +3Causal Representation LearningCausal Inference

    Nanyang Technological University Singapore, Singapore · China Agricultural University Beijing, China · Meituan Beijing, China

  21. PatchSTG: Scalable Spatiotemporal Graph Transformers for Traffic Forecasting on Irregular Sensor Networks

    Jun 2, 2026Jichao Li, Xuanming ShiIntelligent Transportation SystemsSpatiotemporal Forecasting

    Portsmouth Abbey School · CodingFuture (Shanghai) Education Technology Co., Ltd.

  22. IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems

    Jun 1, 2026Yuchen Zhang, Ning Xi, Pengbin Feng +5Cyber-Physical SystemsIndustrial Anomaly Detection

    School of Cyber Engineering, Xidian University, Xi’an 710126, China · School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia · School of Computer Science and Technology, Xidian University, Xi’an 710126, China

  23. AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks

    May 31, 2026Zhongyue Zhang, Guangyin Jin, Yuxuan Liang +2Kernel MethodsSpatiotemporal Forecasting

    Sichuan University · PLA Academy of Military Science · The Hong Kong University of Science and Technology (Guangzhou)

  24. Spatiotemporal Multi-Task Graph Transformer for Trip-Level Transit Prediction

    May 30, 2026Oluwaleke Yusuf, Adil Rasheed, Frank LindsethIntelligent Transportation SystemsMulti-Task Learning

    Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), Trondheim NO-7491, Norway · Department of Computer Science, Norwegian University of Science and Technology (NTNU), Trondheim NO-7491, Norway

  25. Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection

    May 29, 2026Yilin Liu, Hongchao Zhang, Taylor T. Johnson +2Spectral MethodsSpatiotemporal GNNs

    College of Connected Computing, Vanderbilt University, Nashville, USA · Department of Civil and Environmental Engineering, Electrical and Computer Engineering, Vanderbilt University, Nashville, USA

  26. Spatio-temporal stochastic graph-based learning for infectious disease forecasting

    May 28, 2026Luz Stefani Sotomayor Valenzuela, Susanna Cramb, Darren WraithEpidemic ForecastingProbabilistic Forecasting

    School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia · QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia

  27. Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting

    May 28, 2026Amirhossein Ghaffari, Saeid Sheikhi, Ekaterina GilmanAdaptive Model RoutingMixture-of-Experts Models

    Future Computing Group, University of Oulu

  28. From Short Histories to Long Futures: Horizon-Aware Graph Neural Networks for Long Horizon Forecasting

    May 28, 2026Zesheng Liu, Maryam RahnemoonfarNeural Surrogate ModelingLong-Term Time Series Forecasting

    Department of Computer Science and Engineering, Lehigh University, Bethlehem PA 18015, USA · Department of Civil and Environmental Engineering, Lehigh University, Bethlehem2026 PA 18015, USA

  29. SiST-GNN: Simultaneous Spatial-Temporal Message Passing for Dynamic Graph Representation Learning

    May 25, 2026Shubhajit Roy, Anirban DasguptaGraph Representation LearningTemporal Link Prediction

    Department of Computer Science and Engineering Indian Institute of Technology Gandhinagar

  30. ASTRO: Adaptive Spatio-Temporal Reinforcement Optimization for GNN Powered Anomly Detection in Cyber Physical Systems

    May 24, 2026Rai Ali Yar, Umaisa Lail, Anwar ShahCyber-Physical SystemsOnline Anomaly Detection

    Department of Computer Science, FAST NUCES, Development Sector, Faisalabad, Pakistan · Department of Information Technology, Riphah International University, Faisalabad, Pakistan