Graph Neural Networks

Also known as GNN

Ask about this topic

Overview

Graph Neural Networks (GNNs) study how to learn from data whose entities and relationships form a graph, supporting tasks such as node classification, link prediction, and graph or molecular property prediction. Common approaches include message-passing networks such as GCN, GraphSAGE, and GIN, attention-based Graph Transformers, and spectral, geometric, or higher-order methods that encode richer structure. They are used on benchmarks such as Cora and ogbn-arxiv, as well as in molecular modeling, recommender systems, scientific simulation, and network control. Key open challenges include handling heterophilic graphs, preserving useful information in deep networks without oversmoothing or oversquashing, and achieving reliable generalization, robustness, and efficiency on large or shifting graphs.

Latest papers

CardsList

751 papers73 papers in the last four weeks, down 13% on the four weeks before. 0.5% of all new papers.

  1. Learning Contact Dynamics through Touching: Action-conditional Graph Neural Networks for Robotic Peg Insertion

    Sep 15, 2025Zongyao Yi, Joachim Hertzberg, Martin AtzmuellerGraph Neural NetworksContact-Rich Robotic Manipulation

    German Research Center for Artificial Intelligence, DFKI Niedersachsen, Osnabrück, Germany · Osnabrück University, Institute of Computer Science, Osnabrück, Germany

  2. Alternative Graph Neural Networks: Synergizing GEV Models and Deep Learning for Travel Mode Choice Modeling

    Sep 8, 2025Yuqi Zhou, Zhanhong Cheng, Dingyi Zhuang +3Graph Neural NetworksDiscrete Choice Modeling

    aDepartment of Urban and Regional Planning, University of Florida · dDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology · bCollege of Architecture, Texas A&M University +1

  3. A Note on Graphon-Signal Analysis of Graph Neural Networks

    Aug 25, 2025Levi Rauchwerger, Ron LevieGraphon TheoryGraph Neural Networks

  4. RF-Informed Graph Neural Networks for Accurate and Data-Efficient Circuit Performance Prediction

    Aug 22, 2025Anahita Asadi, Leonid Popryho, Inna Partin-VaisbandNeural Surrogate ModelingGraph Neural Networks

    Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL 60607 USA

  5. Learning Latent Graph Geometry via Fixed-Point Schrödinger-Type Activation: A Theoretical Study

    Jul 27, 2025Dmitry Pasechnyuk-Vilensky, Martin TakáčGraph Structure LearningGraph Neural Networks

    MBZUAI, UAE

  6. RAW-Explainer: Post-hoc Explanations of Path Reasoning Graph Neural Networks for Knowledge Graph Completion

    Jun 14, 2025Ryoji Kubo, Samyam Lamichhane, Djellel DifallahGNN ExplainabilityGraph Neural Networks

    New York University Abu Dhabi, Abu Dhabi, United Arab Emirates

  7. Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings

    May 19, 2025Adrien Lagesse, Marc LelargeGraph Neural NetworksSynthetic Benchmark Generation

    INRIA, École Normale Supérieure - PSL, Paris, France.

  8. Relation-Aware Graph Foundation Model

    May 17, 2025Jianxiang Yu, Jiapeng Zhu, Yibo Zhao +4Graph Neural NetworksGraph Representation Learning

    School of Data Science and Engineering, East China Normal University · Ant Group

  9. Understanding and Mitigating Under-Confidence in GNNs from the Final Layer

    May 16, 2025Jincheng Huang, Jie Xu, Xiaoshuang Shi +3Graph Neural NetworksUncertainty Calibration

    School of Computer Science and Engineering, University of Electronic Science and Technology of China · Singapore Management University · Southeast University +1

  10. Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks

    Mar 31, 2025Fangtong Zhou, Xiaorui Liu, Ruozhou Yu +1Graph Neural NetworksLearning to Optimize

    Department of Computer Science, North Carolina State University, Raleigh, NC, 27606, USA · School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, 85287, USA

  11. GenShin: Guiding Rational Liposome Design by Ranking Liposomal Protein Corona through a Docking-Pose-Free GNN

    Mar 16, 2025Pingfei Zhu, Hongyi Liu, Xueyan Liu +2Graph Neural NetworksMaterials Science

    Key Laboratory of symbolic Computation and Knowledge Engineering of ministry of education, Jilin University, Qianjin Street 2699, Changchun, Jilin Province, 130012, China · State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Xue Yuan Road 38, Beijing 100191, China

  12. Incorporating graph neural network into route choice model

    Mar 4, 2025Yuxun Ma, Toru SeoDiscrete Choice ModelingGraph Neural Networks

    Department of Civil and Environmental Engineering, Institute of Science Tokyo, 2-12-1-M6-10, Meguro, Ookayama, 152-8552, Tokyo, Japan

  13. Towards Invariance to Node Identifiers in Graph Neural Networks

    Feb 19, 2025Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schonlieb +2Graph Neural NetworksInvariant Representation Learning

    Blavatnik School of Computer Science, Tel-Aviv University · Meta · Department of Applied Mathematics and Theoretical Physics, University of Cambridge +3

  14. Reforge: Low-Latency Distributed GNN Serving with Selective Embedding Recomputation

    Jan 15, 2025Geon-Woo Kim, Donghyun Kim, Jeongyoon Moon +5Efficient Neural Network InferenceGraph Neural Networks

    The University of Texas at Austin · Georgia Institute of Technology

  15. MEGA: Message Passing Neural Networks for Multigraphs with EdGe Attributes

    Nov 29, 2024H. Çağrı Bilgi, Kubilay AtasuGraph Neural NetworksGraph Representation Learning

    1Delft University of Technology

  16. Label Ensemble Perspective for Reduced-Complexity Graph Node Classification under Label Noise

    Nov 17, 2024Rui Zhao, Bin Shi, Zhiming Liang +4Graph Neural NetworksNode Classification

    School of Computer Science and Technology, Xi’an Jiaotong University, China · Ministry of Education Key Laboratory of Intelligent Networks and Network Security, China · Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, China +2

  17. Graph Neural Networks for Supply Chain Management: A Framework and Real World Benchmark

    Nov 13, 2024Azmine Toushik Wasi, MD Shafikul IslamSupply Chain ManagementGraph Neural Networks

    Department of Industrial and Production Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh · Department of Mechanincal and Industrial Engineering, Louisiana State University, Baton Rounge, LA, 70803, USA

  18. Information propagation dynamics in Deep Graph Networks

    Oct 14, 2024Alessio GravinaGraph Neural NetworksGraph Representation Learning

    University of Pisa Department of Computer Science

  19. Revealing the Pitfalls and Re-Evaluating the Advancement of Heterophilic Graph Learning

    Sep 9, 2024Sitao Luan, Qincheng Lu, Chenqing Hua +3Graph Neural NetworksNode Classification

    Mila - Quebec Artificial Intelligence Institute · 1McGill University

  20. GREAT: A Graph Edge Attention Network for the Electric Vehicle Routing Problem with Asymmetric Costs

    Aug 29, 2024Attila Lischka, Filip Rydin, Jiaming Wu +2Vehicle RoutingGraph Neural Networks

    Chalmers University of Technology · University of Gothenburg

  21. Physics Inspired Neural Networks Enable Efficient Graph Coloring

    Aug 2, 2024Lorenzo Colantonio, Andrea Cacioppo, Federico Scarpati +3Combinatorial OptimizationNeural Combinatorial Optimization

    Department of Physics, Sapienza University of Rome

  22. SSP-GNN: Learning to Track via Bilevel Optimization

    Jul 5, 2024Griffin Golias, Masa Nakura-Fan, Vitaly AblavskyGraph Neural NetworksVisual Object Tracking

    Applied Physics Laboratory University of Washington Seattle, WA 98105 USA · Paul G. Allen School of Computer Science University of Washington Seattle, WA 98105 USA

  23. GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights

    Jun 24, 2024Shengbo Gong, Juntong Ni, Noveen Sachdeva +2Graph Neural NetworksNode Classification

    Emory University · Google Deepmind

  24. GENIE: Watermarking Graph Neural Networks for Link Prediction

    Jun 7, 2024Venkata Sai Pranav Bachina, Aaryan Ajay Sharma, Ankit Gangwal +1Graph Neural NetworksRobust Watermarking

    IIIT Hyderabad, India

  25. The Interpretable and Effective Graph Neural Additive Networks

    Jun 3, 2024Maya Bechler-Speicher, Amir Globerson, Ran Gilad-BachrachGraph Neural NetworksGNN Explainability

    Blavatnik School of Computer Science, Tel-Aviv University · Department of Bio-Medical Engineering, Edmond J. Safra Center for Bioinformatics, Tel-Aviv University

  26. Graph Unitary Message Passing

    Mar 17, 2024Haiquan Qiu, Quanming YaoGraph Neural NetworksMessage Passing Neural Networks

    Department of Electrical Engineering, Tsinghua University · 2Beijing National Research Center for Information Science and Technology · 3State Key laboratory of Space Network and Communications

  27. Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework

    Mar 2, 2024Junxian Li, Bin Shi, Erfei Cui +2Graph Positional EncodingKnowledge Distillation

    Xi’an Jiaotong University · Arizona State University, Tempe, USA · Tongji University, Shanghai, China

  28. Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition

    Jun 8, 2023Yuxiang Zhang, Chengguo Yuan, Xiao Wang +2Event-Based VisionGraph Neural Networks

    aSchool of Computer Science and Technology, Anhui University, Hefei 230601, China.

  29. Harnessing Trust in Directed Graphs: Redefining Robustness of Graph Learning

    Jun 3, 2023Zhichao Hou, Xitong Zhang, Wei Wang +2Graph Neural NetworksAdversarial Robustness

    North Carolina State University · Michigan State University · Meta +1

  30. Knowledge Based Wind Turbine Gearbox Fault Detection Using Sparse Filtering and Graph Neural Networks

    Mar 6, 2023Jinsong Wang, Kenneth A. LoparoFault DetectionIndustrial Fault Diagnosis

    Case Western Reserve University, USA