Temporal GNNs

GNN: Graph Neural Network

Ask about this topic

Overview

Temporal graph neural networks (TGNNs) learn from graphs whose edges, nodes, or attributes arrive or change over time, rather than treating the network as fixed. Common approaches process timestamped events with memory and time encodings, or use snapshot-based recurrent and attention models; newer work adds temporal transformers, adaptive neighbor sampling, motifs, and structural or spectral features. They support future-link and node prediction, anomaly detection, recommendation, and longitudinal applications such as health and finance, often evaluated with chronological splits and dynamic-graph benchmarks. A central challenge is balancing recent changes against long-term memory while remaining scalable and robust to distribution shifts; benchmark scores may not capture semantic drift, learned mechanisms, or whether simple recency and count baselines suffice.

Latest papers

CardsList

82 papers9 papers in the last four weeks, up 13% on the four weeks before. 0.1% of all new papers.

  1. Graph-Driven Cross-Industry Real-Time Monitoring Framework for Anti-Money Laundering Detection in Converged Mobility-Energy Supply Chain Networks

    May 13, 2026Rong Liu, Xiaojun Xiao, Zhanqing SuTemporal GNNsHeterogeneous GNNs

    Sol Price School of Public Policy, University of Southern California, Los Angeles, USA · Boston University, Boston, USA · Johns Hopkins University, Washington, USA

  2. Static and Dynamic Graph Alignment Network for Temporal Video Grounding

    May 1, 2026Zhanjie Hu, Bolin Zhang, Jianhua Wang +5Temporal Video GroundingTemporal GNNs

    Faculty of Electronic Engineering and Computer Science, Ningbo University, Ningbo, China · College of Computer Science, Inner Mongolia University, Hohhot, China · College of Computing and Engineering, Hunan Normal University, Changsha, China +4

  3. Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning

    Apr 27, 2026Xiaoyi Wang, Zhiqiang Wang, Jianqing Liang +4Temporal GNNsGraph Representation Learning

    Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China. · Department of System Engineering and Engineering Management, City University of Hong Kong, Kowloon 999077, Hong Kong, China. · Key Laboratory of Complex Systems and Data Science of Ministry of Education, Complex Systems Research Center, Shanxi University, Taiyuan 030006, Shanxi, China.

  4. Explaining Temporal Graph Predictions With Shapley Values

    Apr 27, 2026Lea-Marie Sussek, Stefan HeindorfTemporal GNNsShapley Value Attribution

    Paderborn University Paderborn, Germany

  5. Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder

    Apr 22, 2026Georgios Anyfantis, Pere Barlet-RosTemporal GNNsTraffic Forecasting

    Department of Computer Architecture Universitat Polit`ecnica de Catalunya Barcelona, Spain

  6. Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis

    Apr 20, 2026Bibek Aryal, Gift Modekwe, Qiugang LuTemporal GNNsMulti-Scale Feature Fusion

    Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA

  7. A Temporally Augmented Graph Attention Network for Affordance Classification

    Apr 11, 2026Ami Chopra, Supriya Bordoloi, Shyamanta M. HazarikaGraph Attention NetworksTemporal GNNs

    Indian Institute of Technology Guwahati, India

  8. Predicting Alzheimer's disease progression using rs-fMRI and a history-aware graph neural network

    Apr 7, 2026Mahdi Moghaddami, Mohammad-Reza Siadat, Austin Toma +2Alzheimer's Disease Progression PredictionTemporal GNNs

    Oakland University, 502 Meadow Brook Road, Rochester, MI 48309, USA

  9. BiTA: Bidirectional Gated Recurrent Unit-Transformer Aggregator in a Temporal Graph Network Framework for Alert Prediction in Computer Networks

    Apr 3, 2026Zahra Makki Nayeri, Mohsen RezvaniHybrid Transformer ArchitecturesTemporal GNNs

    Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran

  10. 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

    Department of Chemical and Petroleum Engineering, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria. · Department of Computer Science, Abiola Ajimobi Technical University, Ibadan, Oyo State, Nigeria

  11. Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis

    Mar 6, 2026Mohammad Al Ridhawi, Mahtab Haj Ali, Hussein Al OsmanStock Price ForecastingFinancial Forecasting

    School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Canada

  12. Cross-Representation Knowledge Transfer for Improved Sequential Recommendations

    Feb 26, 2026Artur Gimranov, Viacheslav Yusupov, Elfat Sabitov +4Sequential RecommendationGraph Neural Networks

    HSE University, Moscow, Russian Federation · SB AI Lab, Moscow, Russian Federation

  13. Temporal-Aware Heterogeneous Graph Reasoning with Multi-View Fusion for Temporal Question Answering

    Feb 23, 2026Wuzhenghong Wen, Bowen Zhou, Jinwen Huang +5Knowledge Graph Question AnsweringTemporal QA

    School of Internet of Things, Nanjing University of Posts and Telecommunications · Faculty of Medicine & Health, University of New South Wales, Sydney, Australia · Beijing Information Science and Technology University +2

  14. A Hybrid TGN-SEAL Model for Dynamic Graph Link Prediction

    Feb 15, 2026Nafiseh Sadat Sajadi, Behnam Bahrak, Mahdi Jafari SiavoshaniTemporal GNNsLink Prediction

    Department of Computer Engineering, Sharif University of Technology, Tehran, Iran. · Tehran Institute for Advanced Studies, Khatam University, Tehran, Iran.

  15. CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?

    Dec 12, 2025Jie Wang, Zheng Yan, Jiahe Lan +2Temporal GNNsHeterogeneous GNNs

    State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University · Hangzhou Institute of Technology, Xidian University · Department of Computer Science, Purdue University

  16. What Do Temporal Graph Learning Models Learn?

    Oct 10, 2025Abigail J. Hayes, Tobias Schumacher, Markus StrohmaierTemporal GNNsTemporal Link Prediction

    University of Mannheim · RWTH Aachen University · GESIS - Leibniz Institute for the Social Sciences +1

  17. Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning

    Aug 20, 2025Jiafeng Xiong, Rizos SakellariouGraph Structure LearningTemporal GNNs

    Department of Computer Science, University of Manchester, UK

  18. BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation

    Aug 9, 2025Yiran Huang, Amirhossein Nouranizadeh, Christine Ahrends +1Functional ConnectivityTemporal GNNs

    New Jersey Institute of Technology · University of Oxford

  19. Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs

    May 30, 2025Franziska Heeg, Jonas Sauer, Petra Mutzel +1Temporal GNNsGNN Expressivity

    Chair of Machine Learning for Complex Networks, Center for AI and Data Science (CAIDAS), University of Würzburg, Würzburg, Germany · Karlsruhe Institute of Technology, University of Karlsruhe, Karlsruhe, Germany · Chair of Computational Analytics, Institute for Computer Science 1, University of Bonn, Bonn, Germany

  20. Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision

    May 18, 2025Alexander Panyshev, Dmitry Vinichenko, Oleg Travkin +2Temporal GNNsTemporal Link Prediction

    Risk AI Research Lab Moscow Independent Research Institute of Artificial Intelligence Moscow, Russia · Risk AI Research Lab Moscow, Russia · Risk AI Research Lab Applied AI Institute Moscow, Russia

  21. FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks

    Apr 9, 2025Or Feldman, Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb +2Temporal GNNsTemporal Link Prediction

    Ben-Gurion University of the Negev, Israel · Purdue University, USA · University of Cambridge, UK

  22. STAMP: Symmetric Temporal Averaging Message Passing for Domain Adaptation in Chronologically Split Graphs

    Nov 17, 2024Joo Young Park, Sejun Park, Hyunwoo ParkTemporal Domain AdaptationDomain Adaptation

    College of Medicine, Seoul National University, Gwanak-gu, Seoul 08826, Korea · Electrical and Computer Engineering, Seoul National University, Gwanak-gu, Seoul 08826, Korea · Graduate School of Data Science, Seoul National University, Gwanak-gu, Seoul 08826, Korea