Physics-Informed GNNs

GNN: Graph Neural Network

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4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Physics-Informed but Not Physics-Consistent: Error Geometry and Subspace Projection for Neural AC Power Flow

    Oct 5, 2026Changhun Kim, Timon Conrad, Redwanul Karim +7Physics-Informed GNNsPower Systems

    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany · Institute of Electrical Energy Systems, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

  2. Physics-Augmented Graph Transformers for Patch-Antenna Forward and Inverse Design

    Oct 4, 2026Avi Epstein, Snir Nehemia, Haim Suchowski +1Physics-Informed GNNsGraph Transformer

    Tel Aviv University

  3. Physics-Refined Spatiotemporal Forecasting on Open-Boundary Hydrologic Graphs

    Oct 1, 2026Haoyang Jiang, Zhengui Wang, Shenghan Gao +3Spatiotemporal ForecastingPhysics-Informed GNNs

    William & Mary, Williamsburg, VA, USA · Virginia Institute of Marine Science, William & Mary, Gloucester Point, VA, USA · Florida Atlantic University, Boca Raton, FL, USA

  4. GridSFM: A Foundation Model for Solving AC Optimal Power Flow

    Sep 24, 2026Luke Bhan, Weiwei Yang, Margaret Capetz +1Neural Surrogate ModelingOptimal Power Flow

    University of California, San Diego · Microsoft Research · University of Washington

  5. A variational physics-informed graph neural network for heterogeneous solid mechanics

    Sep 10, 2026Aashay Rajan Yadav, Amiya Prakash Das, Ratna Kumar AnnabattulaNeural PDE SolversStructural Mechanics

    Mechanics of Materials Lab, Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, 600036, Tamil Nadu, India

  6. Mesh-Native Physics-Informed Graph Surrogates for TCAD-in-the-Loop Design Space Exploration

    Sep 2, 2026Leonid Popryho, Ayoub Sadeghi, Inna Partin-VaisbandPDE Surrogate ModelingPhysics-Informed ML

    University of Illinois Chicago · Chicago, IL, USA

  7. Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields

    Jul 22, 2026Tianyu Li, Zhiwei Cao, Qingang Zhang +3Neural Surrogate ModelingGraph Neural Networks

    Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore, Singapore. · School of Future Technology, Fuzhou University, Fuzhou, China. · College of Computing and Data Science, Nanyang Technological University, Singapore, Singapore. +2

  8. MeGA-MP: Metric Graph Advection Message Passing -- A Physics-Informed Message Passing Operator for Advection-Dominated Metric Graphs

    Jul 6, 2026Janine Strotherm, Luca Hermes, André Artelt +1Graph Representation LearningPDE Solving

    Bielefeld University

  9. Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels

    Jun 18, 2026Yuecheng Cai, Jasmin JelovicaNeural Surrogate ModelingGraph Neural Networks

    Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada · Department of Civil Engineering, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada

  10. Physics-Aware Auxiliary Losses Improve Out-of-Distribution Generalization of a GNN Synthesizability Filter

    Jun 10, 2026Riya Bisht, Dhruv AgarwalGraph Neural NetworksOOD Generalization

  11. 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

  12. Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments

    May 19, 2026Takshak Shende, Viktor PopovPDE Surrogate ModelingPhysics-Informed ML

    Department of Mechanical Engineering, University College London (UCL), London, United Kingdom · Ascend Technologies Ltd, Southampton, United Kingdom

  13. Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions

    May 4, 2026Sergio Orozco, Tushar Kusnur, Brandon May +2Deformable Object ManipulationRobotic Manipulation

    Brown University, Providence, RI · Robotics and AI (RAI) Institute, Cambridge, MA · General Motors

  14. Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data

    Apr 26, 2026Ru Geng, Panayotis Kevrekidis, Yixian Gao +2Dynamical SystemsGraph Structure Learning

    School of Mathematics and Statistics, Changchun University, Changchun, 130022, China · Department of Mathematics and Statistics, University of Massachusetts, Amherst, 01003, MA, USA · Department of Physics, University of Massachusetts, Amherst, 01003, MA, USA +2

  15. Zero-Shot Scalable Resilience in UAV Swarms: A Decentralized Imitation Learning Framework with Physics-Informed Graph Interactions

    Apr 17, 2026Huan Lin, Lianghui DingMulti-Robot SystemsSwarm Robotics

    Institute of Image Communication and Network Engineering, School of Integrated Circuits, Shanghai Jiao Tong University, Shanghai 200240, China

  16. G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes

    Apr 16, 2026Jack T. Beerman, Tyler J. Abele, Mehdi Taghizadeh +6Neural PDE SolversPDE Surrogate Modeling

    School of Data Science, University of Virginia, Charlottesville, VA 22903, United States · Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA 22903, United States · Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, United States +1

  17. Physics-informed GNN for medium-high voltage AC power flow with edge-aware attention and line search correction operator

    Sep 26, 2025Changhun Kim, Timon Conrad, Redwanul Karim +6Efficient Neural Network InferenceGraph Attention Networks

    Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany · Institute of Electrical Energy Systems, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany