Graph Neural Networks

Also known as GNN

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Latest papers 686

88 papers in the last four weeks, up 31% on the four weeks before. 0.5% of all new papers.

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  1. Modeling subgrid scale production rates on complex meshes using graph neural networks

    Mar 20, 2026Priyabrat Dash, Mathis Bode, Konduri AdityaComputational Fluid DynamicsGraph Neural Networks

    Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, 560012, KA, India · Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, 52425, NRW, Germany

  2. A graph neural network based chemical mechanism reduction method for combustion applications

    Mar 20, 2026Manuru Nithin Padiyar, Priyabrat Dash, Konduri AdityaReduced-Order ModelingGraph Neural Networks

    Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru, 560012, KA, India

  3. Multi-view Graph Convolutional Network with Fully Leveraging Consistency via Granular-ball-based Topology Construction, Feature Enhancement and Interactive Fusion

    Mar 20, 2026Chengjie Cui, Taihua Xu, Shuyin Xia +3Graph Neural NetworksMulti-View Learning

    School of Computer, Jiangsu University of Science and Technology, Zhenjiang, 212100, China · Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China · College of Computer and Data Science, Fuzhou University, Fuzhou 350116, China

  4. WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network

    Mar 19, 2026Haotian Lu, Jincong Lu, Sachin Sachdeva +1Graph Neural NetworksPhysics-Informed ML

    Department of Electrical and Computer Engineering · University of California, Riverside · Riverside, CA, USA

  5. Attack by Unlearning: Unlearning-Induced Adversarial Attacks on Graph Neural Networks

    Mar 19, 2026Jiahao Zhang, Yilong Wang, Suhang WangAdversarial AttacksGraph Neural Networks

    The Pennsylvania State University University Park, PA, USA

  6. Gaussian Process Limit Reveals Structural Benefits of Graph Transformers

    Mar 18, 2026Nil Ayday, Lingchu Yang, Debarghya GhoshdastidarGraph Neural NetworksGraph Transformer

    School of Computation, Information and Technology, Technical University of Munich · Graduate School of Information Science and Technology, The University of Tokyo

  7. A Depth-Aware Comparative Study of Euclidean and Hyperbolic Graph Neural Networks on Bitcoin Transaction Systems

    Mar 17, 2026Ankit Ghimire, Saydul Akbar Murad, Nick RahimiGraph Neural NetworksHyperbolic Representation Learning

    School of Computing Sciences and Computer Engineering University of Southern Mississippi Hattiesburg, MS, 39406, USA

  8. CrossADR: enhancing adverse drug reactions prediction for combination pharmacotherapy with cross-layer feature integration and cross-level associative learning

    Mar 16, 2026Y. CheungClinical Risk PredictionGraph Neural Networks

    School of Mathematical Sciences and Shanghai Key Laboratory of PMMP, East China Normal University, 200241, Shanghai, China

  9. Tackling Over-smoothing on Hypergraphs: A Ricci Flow-guided Neural Diffusion Approach

    Mar 16, 2026Mengyao Zhou, Zhiheng Zhou, Xiao Han +3Hypergraph Neural NetworksHypergraph Learning

    the Academy of Mathematics and Systems Science, Chinese Academy of Sciences and also with the University of Chinese Academy of Sciences, Beijing 100190, China · the School of Mathematics and Statistics, Shandong University, Weihai, Shandong 264209, China · School of Artificial Intelligence, Beihang University, Beijing 100191, China +1

  10. Lost in Aggregation: On a Fundamental Expressivity Limit of Message-Passing Graph Neural Networks

    Mar 16, 2026Eran RosenbluthGraph Neural NetworksGNN Expressivity

    RWTH Aachen University

  11. Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling

    Mar 15, 2026Akshansh MishraSurrogate ModelingManufacturing

    School of Industrial and Information Engineering, Politecnico di Milano, Milan, Italy

  12. Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification

    Mar 15, 2026Paras Sharma, Swastika SharmaGraph Neural Networks

    Independent Researcher · Dr. YSPUHF, Solan, H.P., India

  13. 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

    Kyiv School of Economics · Oxford Brookes University

  14. Modality-free Graph In-context Alignment

    Mar 13, 2026Wei Zhuo, Siqiang LuoGraph Foundation ModelsIn-Context Learning

    Nanyang Technological University

  15. Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction

    Mar 13, 2026Chenghan Wu, Zongmin Yu, Boai Sun +1Operator LearningSpatiotemporal Forecasting

    National University of Singapore

  16. Lyapunov Stable Graph Neural Flow

    Mar 13, 2026Haoyu Chu, Xiaotong Chen, Wei Zhou +4Graph Neural NetworksAdversarial Robustness

    School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, Xuzhou 221008, China · School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China

  17. Effective Resistance Rewiring: A Simple Topological Correction for Over-Squashing

    Mar 12, 2026Bertran Miquel-Oliver, Manel Gil-Sorribes, Victor Guallar +1Graph Neural NetworksGraph Rewiring

    Barcelona Supercomputing Center (BSC), Barcelona, Spain · Universitat Politècnica de Catalunya - BarcelonaTech (UPC), Barcelona, Spain · Nostrum Biodiscovery, Barcelona, 08029, Spain +1

  18. Contextual Graph Representations for Task-Driven 3D Perception and Planning

    Mar 12, 2026Christopher AgiaRobot Task PlanningGraph-Based Planning

  19. GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback

    Mar 11, 2026Ruiyao Xu, Kaize DingText-Attributed Graph LearningLLMs for Graph Learning

    Department of Statistics and Data Science, Northwestern University

  20. Towards Intelligent Spectrum Management: Spectrum Demand Estimation Using Graph Neural Networks

    Mar 11, 2026Mohamad Alkadamani, Amir Ghasemi, Halim YanikomerogluWireless CommunicationsWireless Resource Allocation

    Communications Research Centre Canada, Ottawa, ON, Canada · Carleton University, Ottawa, ON, Canada

  21. GNNs for Time Series Anomaly Detection: An Open-Source Framework and a Critical Evaluation

    Mar 10, 2026Federico Bello, Gonzalo Chiarlone, Marcelo Fiori +2Time-Series Anomaly DetectionGraph Neural Networks

    Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay · Pento, Montevideo, Uruguay · Centro Interdisciplinario en Ciencia de Datos y Aprendizaje Automático (CICADA), Universidad de la República, Uruguay

  22. GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis

    Mar 10, 2026Tran Bao Sam, Hung Vu, Dao Trung Kien +3Medical Image AnalysisMedical Image Classification

    NVIDIA, Ho Chi Minh City, Vietnam

  23. Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification

    Mar 10, 2026MoonJeong Park, Seungbeom Lee, Kyungmin Kim +5Transductive LearningGeneralization Bounds

    Graduate School of Artificial Intelligence, POSTECH, South Korea · CSIRO’s Data61, Canberra, Australia · Department of Computer Science & Engineering, POSTECH, South Korea

  24. P2P^2GNN: Two Prototype Sets to boost GNN Performance

    Mar 10, 2026Arihant Jain, Gundeep Arora, Anoop Saladi +1Graph Neural NetworksMessage Passing Neural Networks

    Amazon, India

  25. Local Message-Passing for Discrete Graph Generation

    Mar 9, 2026Jay Revolinsky, Harry Shomer, Jiliang TangGraph Neural NetworksGraph Generation

    Michigan State University East Lansing, Michigan, USA · University of Texas - Arlington Arlington, Texas, USA

  26. PCFEx: Point Cloud Feature Extraction for Graph Neural Networks

    Mar 9, 2026Abdullah Al Masud, Shi Xintong, Mondher Bouazizi +1Point Cloud Learning3D Human Pose Estimation

    Graduate School of Science and Technology, Keio University, Kanagawa, 223-8522, Japan · Faculty of Science and Technology, Keio University Kanagawa, 223-8522, Japan

  27. Graph-Instructed Neural Networks for parametric problems with varying boundary conditions

    Mar 9, 2026Francesco Della Santa, Sandra Pieraccini, Maria StrazzulloPDE Surrogate ModelingNeural PDE Solvers

    Department of Mathematical Sciences, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy · Gruppo Nazionale per il Calcolo Scientifico INdAM, Piazzale Aldo Moro 5, 00185, Rome, Italy

  28. SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning

    Mar 9, 2026Yuxiang Zhang, Enyan DaiGraph Neural NetworksSpurious Correlation Robustness

    The Hong Kong University of Science and Technology (Guangzhou)

  29. Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach

    Mar 9, 2026Yunhui Liu, Qizhuo Xie, Yinfeng Chen +4Anomaly DetectionGraph Neural Networks

    State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China · National Engineering Laboratory for Big Data Analysis and Applications, Peking University, Beijing, China

  30. Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases

    Mar 9, 2026Jun Yin, Peng Huo, Bangguo Zhu +4Relational Deep LearningClass-Imbalanced Learning

    Department of Data Science and Artificial Intelligence, Hong Kong Polytechnic University, Hong Kong SAR, China · National Super Computing Center, Tianjin, China · School of Computer Science and Engineering, Central South University, Hunan, China +1