Graph Attention Networks

Also known as GAT

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Overview

Graph Attention Networks study how neural models can use a graph’s connections while learning which neighboring nodes matter most for a task. Methods such as GAT and GATv2 use attention over neighbors, with extensions for edge features, multiple relations, time-varying graphs, and hierarchical or sparse aggregation. They are applied to node classification, link prediction, recommendation, forecasting, and scientific or medical data, with evaluations ranging from standard graph benchmarks to traffic, molecular, and brain-connectivity datasets. A central tension is that adaptive attention can capture useful context and improve explanations, but its gains are not universal, and scaling, noisy or incomplete graph structure, and comparisons with simpler message-passing methods remain important challenges.

Latest papers

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75 papers6 papers in the last four weeks, up 20% on the four weeks before. 0.0% of all new papers.

  1. Attention as Lattice Gauge Theory: Relations Interact Only Through Wilson Loops

    Oct 27, 2026Aakash Sarkar, Ananya Mukherjee, Motoshige SatoGraph Attention NetworksEquivariant GNNs

    University of California, San Francisco · Brigham and Women’s Hospital

  2. Efficient Edge-aware Attention Network for Graph Generation

    Oct 20, 2026Vincent Jung, Alba Carballo-Castro, Yiming Qin +2Graph GenerationGraph Transformer

    LTS4, EPFL, Lausanne, Switzerland · Università della Svizzera italiana, Lugano, Switzerland

  3. Physiology-Aware Graph Attention for Early Ventricular Reentry Prediction

    Oct 19, 2026Ma{ë}lis Morier, Jairo Rodr{í}guez Padilla, Patrick Gallinari +1Graph Attention Networks

    EPIONE · ISIR,MLIA

  4. GREAT-ESDD: Graph Edge Attention Network for Effectively Steered Delivery Decisions

    Oct 10, 2026Attila Lischka, Ze Zhou, Xuegang +2Operations ResearchVehicle Routing

    Jeff · Civil and Environmental Engineering, University of Washington, Seattle, USA · Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden

  5. MSGAT: Multi-Head Spiking Graph Attention with Similarity-Space Fusion for Image-Text Retrieval

    Oct 8, 2026Xintao Zong, Wenxuan Liu, Jianhao Ding +2Image-Text RetrievalCross-Modal Retrieval

    Peking University

  6. Variational Quantum Attention for Molecular Graph Learning

    Oct 3, 2026Yu-Cheng Lin, Yu-Chao Hsu, Tai-Yue Li +2Graph Attention NetworksQuantum Machine Learning

    Department of Electrophysics, National Yang Ming Chiao Tung University, Hsinchu 300092, Taiwan. · Department of Internal Medicine, School of Medicine College of Medicine, Taipei Medical University, Taipei, Taiwan · School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea +2

  7. Let the Heads Talk: Beyond Diagonal Graph Attention

    Oct 1, 2026Riccardo Ali, Alessio Borgi, Mario Severino +4Graph Attention NetworksSheaf Neural Networks

    Department of Computer Science and Technology, University of Cambridge · Department of Computer, Control and Management Engineering, Sapienza University of Rome · Department of Information Engineering, University of Padua +1

  8. Topology-Adaptive Hyperbolic Graph Attention Networks Guided by the Hyperbolic Sombor Index

    Sep 26, 2026Haifang Cao, Boan Tao, Xiyuan Gao +3Graph Neural NetworksGraph Attention Networks

    Tianjin University Tainjin, China

  9. Diffusion-Induced Spatial Attention Overlapping Community Detection

    Sep 22, 2026Kosti Koistinen, Vesa Kuikka, Joni Herttuainen +3Graph Attention NetworksGraph Clustering

    Aalto University School of Science Computer Science Department P.O.Box 11000, 00076 AALTO, Finland · Lockheed Martin USA

  10. Graph Attention Design Choices Matter: A Controlled Study of LoRA-Adapted Audio Anti-Spoofing

    Sep 14, 2026Haoyu Wang, Jing Yang, Chenyu Liu +7Graph Attention NetworksASVspoof

    School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China · MiLM Plus, Xiaomi Inc., Beijing, China · School of Electronic Information, Wuhan University, Wuhan, China +1

  11. Symmetries and Singularities

    Sep 13, 2026Vishnu Varadarajan, Mihir More, Aritra Das +1Singular Learning TheoryGraph Attention Networks

    Truth Audit Labs

  12. Predicting Spatiotemporal Mobile Sensing-Based PM2.5 Concentrations Using Low-Rank Adapted Spatially Attentive Graph Neural Network

    Sep 4, 2026Om Chiddarwar, Priyanka Mandal, Praveen Kumar Chandaliya +1Graph Attention NetworksAir Quality Prediction

    IIITDM Kurnool, Kurnool, Andhra Pradesh 518002, India · Sardar Vallabhbhai National Institute of Technology Surat, Gujarat 394210, India

  13. GATNextHop: A GAT for Shortest Path Routing with Cross-Topology Generalization

    Aug 24, 2026Chia-Hong Chou, Katerina PotikaOOD GeneralizationGraph Attention Networks

    Department of Computer Science San Jos´e State University San Jos´e, CA

  14. Modeling Claim Dependency Structure for Patent Litigation Prediction with Graph Attention Networks

    Aug 22, 2026Takao Arai, Hiroyasu InoueLegal Judgment PredictionGraph Attention Networks

    Graduate School of Information Science University of Hyogo · Graduate School of Information Science University of Hyogo Center for Computational Science, RIKEN

  15. Keep Your Friends Close, and the Right Neighbours Closer: Disaster-Conditioned Kernel-Regularized Graph Attention for Building Damage Classification

    Aug 20, 2026Fuad Hasan, Chul Min YeumDisaster Damage AssessmentBuilding Damage Assessment

    Computer Vision for Smart Structure (CViSS) Lab, University of Waterloo, Waterloo, Ontario, Canada

  16. GARLIC: Graph Attention-based Relational Learning of Multivariate Time Series in Intensive Care

    Aug 11, 2026Ruirui Wang, Yanke Li, Manuel Günther +1Irregular Time-Series ModelingGraph Attention Networks

    Department of Informatics University of Zürich · SCAI Lab, D-HEST ETH Zürich & SPF

  17. Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference

    Aug 10, 2026Burc GokdenGraph Attention NetworksLLM Inference

    Fromthesky Research Labs LLC, Oregon, USA

  18. When Should Graph Attention Be Sparse? Learning a Per-Edge Tsallis Index

    Aug 3, 2026Kleyton da Costa, Bernardo ModenesiGraph Attention NetworksAttention Mechanisms

    University College London & Holistic AI · University of Utah

  19. MDGAM-Based Cooperative Task Scheduling for Communication-Constrained Distributed Multi-Agent Systems

    Aug 1, 2026Licheng Wang, Mingtao Huang, Yuan ShenGraph Attention NetworksMulti-Agent Systems

    Department of Electronic Engineering, and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China

  20. How Much Does Message Passing Matter? A Drop-In Study of GNN Layers for Neural Network Graph Regression

    Jul 29, 2026Keith G. Mills, Aedan J. DeFrates, Joong Ho KimGraph Attention NetworksGraph Neural Networks

    LSU ATHENA Lab

  21. Integrating Factual and Normative Industrial Knowledge via Constraint-Aware Graph Attention for Process Plan Recommendation

    Jul 27, 2026Yuntong Chen, Yingqi Li, Yingying Xiao +5ManufacturingGraph Attention Networks

    School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, 710072, China · State Key Laboratory of Complex Product Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing, 100854, China

  22. Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks

    Jul 26, 2026Haomiao Sun, Fang He, Congyuan Ji +1Graph Attention NetworksLearning to Optimize

    Department of Industrial Engineering, Tsinghua University, Beijing 100084, P.R. China · School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, P.R. China

  23. Explainable graph attention network for stress recognition (StressGAT) via differential action units

    Jul 23, 2026Thomas Kassiotis, Stefanos Gkikas, Nikolaos Smyrnis +1Graph Attention NetworksFacial Expression Recognition

    Department of Electronic Engineering Hellenic Mediterranean University Chania, Greece · Honda Research Institute Japan Wako City, Japan · University Mental Health, Neurosciences and Precision Medicine, Research Institute “COSTAS STEFANIS” 2nd Department of Psychiatry, Medical School, National and Kapodistrian University of Athens Athens, Greece +1

  24. EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting

    Jul 14, 2026Mingxing Xu, Rakesh Chowdary Machineni, Ke Liu +7Efficient Neural Network InferenceGraph Attention Networks

    Shanghai Jiao Tong University · University of Michigan, Ann Arbor · University of California, Berkeley +5

  25. Comparative Analysis of GAT and BERT for Human-Like Playtesting

    Jul 13, 2026Kleio Fragkedaki, Theodoros Panagiotakopoulos, Matteo Biasielli +1Graph Attention NetworksGraph Neural Networks

    AI Center of Excellence King Stockholm, Sweden

  26. SALT-GNN: Handling Dense Neighborhoods in Anti-Money Laundering Graphs via Statistics-Aware Attention

    Jul 11, 2026Lidia Losavio, Francesco Sovrano, Dario Fenoglio +2Graph Attention NetworksGraph Neural Networks

    Università della Svizzera italiana (USI) Lugano, Switzerland

  27. Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

    Jul 7, 2026Shervin Khalafi, Igor Krawczuk, Sergio Rozada +3Graph Attention NetworksGraph Transformer

    University of Pennsylvania · King Juan Carlos University · Stanford University

  28. Beyond Isolated Objects: Relationship-aware Open Vocabulary Scene Understanding via 3D Scene Graph Analysis

    Jul 6, 2026Xianhao Chen, Jiarui Hu, Yuanbo Yang +5Graph Attention NetworksOpen-Vocabulary 3D Segmentation

    State Key Lab of CAD&CG, Zhejiang University, China · Zhejiang University, China

  29. X-LogSMask: Expand Transformer for Graph-Structured Data

    Jul 2, 2026Leyan Li, Rennong Yang, Zhenxing Zhang +1Graph Attention NetworksGraph Representation Learning

  30. Gated Multi-Graph Fusion via Graph Attention Networks for Alzheimer's Disease Detection

    Jun 30, 2026Jinyu Li, Xiao Wei, Bin Wen +5Alzheimer's DiseaseGraph Attention Networks

    School of Future Technology, Tianjin University, Tianjin, China · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China · College of Computer and Data Science, Fuzhou University, Fuzhou, China +1