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Learning to Simulate Complex Physics with Graph Networks
v1v2 (latest)

Learning to Simulate Complex Physics with Graph Networks

International Conference on Machine Learning (ICML), 2020
21 February 2020
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
    PINNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Learning to Simulate Complex Physics with Graph Networks"

50 / 688 papers shown
CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
Xianglong Hou
Xinquan Huang
Paris Perdikaris
36
2
0
04 Dec 2025
Mofasa: A Step Change in Metal-Organic Framework Generation
Mofasa: A Step Change in Metal-Organic Framework Generation
Vaidotas Šimkus
Anders Christensen
Steven Bennett
Ian Johnson
Mark Neumann
James Gin
Jonathan Godwin
Benjamin Rhodes
AI4CE
162
1
0
01 Dec 2025
CORGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation
CORGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation
Ethan Ji
Yuanzhou Chen
Arush Ramteke
Fang Sun
Tianrun Yu
Jai Parera
Wei Wang
Yizhou Sun
217
0
0
28 Nov 2025
Physics-Informed Spiking Neural Networks via Conservative Flux Quantization
Physics-Informed Spiking Neural Networks via Conservative Flux Quantization
Chi Zhang
Lin Wang
PINN
403
0
0
26 Nov 2025
PIBNet: a Physics-Inspired Boundary Network for Multiple Scattering Simulations
PIBNet: a Physics-Inspired Boundary Network for Multiple Scattering Simulations
Rémi Marsal
Stéphanie Chaillat
AI4CE
75
0
0
26 Nov 2025
VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learning
VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learning
Bo Pang
Chenxi Xu
J. Ren
Guoping Wang
Sheng Li
243
0
0
25 Nov 2025
Adaptive Mesh-Quantization for Neural PDE Solvers
Adaptive Mesh-Quantization for Neural PDE Solvers
Winfried van den Dool
Maksim Zhdanov
Yuki M. Asano
Max Welling
MQAI4CE
438
0
0
23 Nov 2025
Scaling Kinetic Monte-Carlo Simulations of Grain Growth with Combined Convolutional and Graph Neural Networks
Scaling Kinetic Monte-Carlo Simulations of Grain Growth with Combined Convolutional and Graph Neural Networks
Zhihui Tian
Ethan Suwandi
Tomas Oppelstrup
Vasily V. Bulatov
J. Harley
Fei Zhou
GNNAI4CE
139
0
0
22 Nov 2025
Active Learning with Selective Time-Step Acquisition for PDEs
Active Learning with Selective Time-Step Acquisition for PDEsInternational Conference on Machine Learning (ICML), 2025
Yegon Kim
Hyunsu Kim
Gyeonghoon Ko
Juho Lee
AI4CE
182
2
0
22 Nov 2025
Adaptive Graph Rewiring to Mitigate Over-Squashing in Mesh-Based GNNs for Fluid Dynamics Simulations
Adaptive Graph Rewiring to Mitigate Over-Squashing in Mesh-Based GNNs for Fluid Dynamics Simulations
Sangwoo Seo
Hyunsung Kim
Jiwan Kim
Chanyoung Park
AI4CE
204
0
0
16 Nov 2025
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
Hao Wei
Aleksandra Franz
Bjoern List
Nils Thuerey
PINNAI4CE
457
1
0
16 Nov 2025
Pixel-level Quality Assessment for Oriented Object Detection
Pixel-level Quality Assessment for Oriented Object Detection
Yunhui Zhu
Buliao Huang
ObjD
501
0
0
11 Nov 2025
A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures
A Risk-Neutral Neural Operator for Arbitrage-Free SPX-VIX Term Structures
Jianán Zhang
154
0
0
09 Nov 2025
Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators
Parameter-Efficient Conditioning for Material Generalization in Graph-Based Simulators
Naveen Raj Manoharan
Hassan Iqbal
Krishna Kumar
AI4CE
173
0
0
07 Nov 2025
Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
Philipp Dahlinger
Niklas Freymuth
Tai Hoang
Tobias Würth
Michael Volpp
Luise Kärger
Gerhard Neumann
AI4CE
339
0
0
07 Nov 2025
Accelerating scientific discovery with the common task framework
Accelerating scientific discovery with the common task framework
J. Nathan Kutz
Peter W. Battaglia
M. Brenner
Kevin Carlberg
Aric Hagberg
...
Frank Noe
Max Welling
Laure Zanna
Francis Zhu
Steven Brunton
206
5
0
06 Nov 2025
WindMiL: Equivariant Graph Learning for Wind Loading Prediction
WindMiL: Equivariant Graph Learning for Wind Loading Prediction
Themistoklis Vargiemezis
Charilaos Kanatsoulis
Catherine Gorlé
251
0
0
03 Nov 2025
HEIR: Learning Graph-Based Motion Hierarchies
HEIR: Learning Graph-Based Motion Hierarchies
Cheng Zheng
William Koch
Baiang Li
Felix Heide
3DV
197
0
0
30 Oct 2025
Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
Alessandro Lucchetti
Francesco Cadini
Marco Giglio
Luca Lomazzi
AI4CE
140
0
0
29 Oct 2025
PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis
PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis
Yu Yang
Zhilu Zhang
Xiang Zhang
Yihan Zeng
Hui Li
W. Zuo
VGenSyDaPINN
318
3
0
24 Oct 2025
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
Zhongyi Yu
Jianqiu Wu
Zhenghao Wu
Shuhan Zhong
Weifeng Su
Chul-Ho Lee
Weipeng Zhuo
AI4TS
182
0
0
23 Oct 2025
Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
Cassidy Ashworth
Pietro Lio
Francesco Caso
AI4CE
132
0
0
18 Oct 2025
On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detection
Tai Le-Gia
Ahn Jaehyun
230
2
0
12 Oct 2025
On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond
On Powerful Ways to Generate: Autoregression, Diffusion, and Beyond
Chenxiao Yang
Cai Zhou
David Wipf
Zhiyuan Li
DiffM
205
0
0
07 Oct 2025
MaNGO - Adaptable Graph Network Simulators via Meta-Learning
MaNGO - Adaptable Graph Network Simulators via Meta-Learning
Philipp Dahlinger
Tai Hoang
Denis Blessing
Niklas Freymuth
Gerhard Neumann
AI4CE
286
2
0
07 Oct 2025
Physics-Inspired All-Pair Interaction Learning for 3D Dynamics Modeling
Physics-Inspired All-Pair Interaction Learning for 3D Dynamics Modeling
Kai Yang
Yuqi Huang
Junheng Tao
Wanyu Wang
Qitian Wu
PINNAI4CE
277
2
0
05 Oct 2025
RheOFormer: A generative transformer model for simulation of complex fluids and flows
RheOFormer: A generative transformer model for simulation of complex fluids and flows
Maedeh Saberi
Amir Barati Farimani
Safa Jamali
AI4CE
156
0
0
01 Oct 2025
Graph-Based Learning of Free Surface Dynamics in Generalized Newtonian Fluids using Smoothed Particle Hydrodynamics
Graph-Based Learning of Free Surface Dynamics in Generalized Newtonian Fluids using Smoothed Particle Hydrodynamics
Hyo-Jin Kim
Jaekwang Kim
Hyung-Jun Park
76
1
0
29 Sep 2025
SoC-DT: Standard-of-Care Aligned Digital Twins for Patient-Specific Tumor Dynamics
SoC-DT: Standard-of-Care Aligned Digital Twins for Patient-Specific Tumor Dynamics
Moinak Bhattacharya
Gagandeep Singh
Prateek Prasanna
191
0
0
29 Sep 2025
Reversible GNS for Dissipative Fluids with Consistent Bidirectional Dynamics
Reversible GNS for Dissipative Fluids with Consistent Bidirectional Dynamics
Mu Huang
Linning Xu
Mingyue Dai
Yidi Shao
Bo Dai
AI4CE
177
0
0
26 Sep 2025
Learning Inter-Atomic Potentials without Explicit Equivariance
Learning Inter-Atomic Potentials without Explicit Equivariance
Ahmed A. A. Elhag
Arun Raja
Alex Morehead
Samuel M. Blau
Garrett M. Morris
Michael M. Bronstein
Eva Nittinger
Garrett M. Morris
Michael M. Bronstein
AI4CE
258
3
0
25 Sep 2025
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
Chen Wang
Chuhao Chen
Yiming Huang
Zhiyang Dou
Yuan Liu
Jiatao Gu
Lingjie Liu
DiffMVGenPINN
711
17
0
24 Sep 2025
Graph-based Neural Space Weather Forecasting
Graph-based Neural Space Weather Forecasting
Daniel Holmberg
I. Zaitsev
M. Alho
Ioanna Bouri
Fanni Franssila
Haewon Jeong
M. Palmroth
Teemu Roos
AI4CE
271
1
0
23 Sep 2025
Training-Free Data Assimilation with GenCast
Training-Free Data Assimilation with GenCast
Thomas Savary
Sacha Lewin
Gilles Louppe
AI4CE
206
2
0
23 Sep 2025
PMRT: A Training Recipe for Fast, 3D High-Resolution Aerodynamic Prediction
PMRT: A Training Recipe for Fast, 3D High-Resolution Aerodynamic Prediction
Sam Jacob Jacob
Markus Mrosek
C. Othmer
Harald Köstler
DiffMAI4CE
207
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0
21 Sep 2025
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks
Kijung Yoon
GNN
182
0
0
21 Sep 2025
Multi-Stage Graph Neural Networks for Data-Driven Prediction of Natural Convection in Enclosed Cavities
Multi-Stage Graph Neural Networks for Data-Driven Prediction of Natural Convection in Enclosed Cavities
Mohammad Ahangarkiasari
Hassan Pouraria
AI4CE
166
1
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07 Sep 2025
Data-Efficient Time-Dependent PDE Surrogates: Graph Neural Simulators vs. Neural Operators
Data-Efficient Time-Dependent PDE Surrogates: Graph Neural Simulators vs. Neural Operators
Dibyajyoti Nayak
Somdatta Goswami
AI4CE
242
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0
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Accurate and scalable deep Maxwell solvers using multilevel iterative methods
Accurate and scalable deep Maxwell solvers using multilevel iterative methods
Chenkai Mao
Jonathan A. Fan
AI4CE
113
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03 Sep 2025
Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks
Learning Particle Dynamics Subject to Rigid Body Manipulations Using Graph Neural Networks
Niteesh Midlagajni
Constantin A. Rothkopf
AI4CE
141
0
0
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Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space
Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space
Aditya Sengar
Ali Hariri
P. Vandergheynst
Patrick Barth
AI4CE
355
1
0
02 Sep 2025
FNODE: Flow-Matching for data-driven simulation of constrained multibody systems
FNODE: Flow-Matching for data-driven simulation of constrained multibody systems
Hongyu Wang
Jingquan Wang
Dan Negrut
OODAI4CE
222
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0
29 Aug 2025
Neural Field Turing Machine: A Differentiable Spatial Computer
Neural Field Turing Machine: A Differentiable Spatial Computer
Akash Malhotra
Nacéra Seghouani
AI4CE
136
0
0
27 Aug 2025
Automated discovery of finite volume schemes using Graph Neural Networks
Automated discovery of finite volume schemes using Graph Neural Networks
Paul Garnier
J. Viquerat
E. Hachem
155
0
0
26 Aug 2025
Planning-Query-Guided Model Generation for Model-Based Deformable Object Manipulation
Planning-Query-Guided Model Generation for Model-Based Deformable Object Manipulation
A. LaGrassa
Zixuan Huang
Dmitry Berenson
Oliver Kroemer
147
0
0
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Training Transformers for Mesh-Based Simulations
Training Transformers for Mesh-Based Simulations
Paul Garnier
Vincent Lannelongue
J. Viquerat
E. Hachem
AI4CE
135
2
0
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From Prediction to Simulation: AlphaFold 3 as a Differentiable Framework for Structural Biology
From Prediction to Simulation: AlphaFold 3 as a Differentiable Framework for Structural Biology
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Armita Shahlaee
AI4CE
196
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Neural Robot Dynamics
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Jie Xu
Eric Heiden
Iretiayo Akinola
Dieter Fox
Miles Macklin
Yashraj S. Narang
AI4CE
267
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TOAST: Fast and scalable auto-partitioning based on principled static analysis
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Sami Alabed
Dominik Grewe
Norman A. Rink
Masha Samsikova
Timur Sitdikov
Agnieszka Swietlik
Dimitrios Vytiniotis
Daniel Belov
159
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VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
VisionLaw: Inferring Interpretable Intrinsic Dynamics from Visual Observations via Bilevel Optimization
Jailing Lin
Shu Jiang
Qingyuan Zeng
Zhenzhong Wang
Min Jiang
174
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