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Learning to Simulate Complex Physics with Graph Networks

Learning to Simulate Complex Physics with Graph Networks

21 February 2020
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
    PINN
    AI4CE
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Papers citing "Learning to Simulate Complex Physics with Graph Networks"

50 / 595 papers shown
Title
Regional Ocean Forecasting with Hierarchical Graph Neural Networks
Regional Ocean Forecasting with Hierarchical Graph Neural Networks
Daniel Holmberg
Emanuela Clementi
Teemu Roos
AI4Cl
21
1
0
15 Oct 2024
Gaussian Splatting Visual MPC for Granular Media Manipulation
Gaussian Splatting Visual MPC for Granular Media Manipulation
Wei-Cheng Tseng
Ellina Zhang
Krishna Murthy Jatavallabhula
Florian Shkurti
3DGS
29
0
0
13 Oct 2024
Logic Error Localization in Student Programming Assignments Using
  Pseudocode and Graph Neural Networks
Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks
Zhenyu Xu
Kun Zhang
Victor S. Sheng
19
0
0
11 Oct 2024
Metamizer: a versatile neural optimizer for fast and accurate physics simulations
Metamizer: a versatile neural optimizer for fast and accurate physics simulations
Nils Wandel
Stefan Schulz
Reinhard Klein
PINN
AI4CE
39
0
0
10 Oct 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System
  Modeling
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
Zijie Huang
Wanjia Zhao
Jingdong Gao
Ziniu Hu
Xiao Luo
Yadi Cao
Yuanzhou Chen
Yizhou Sun
Wei Wang
PINN
AI4CE
22
1
0
08 Oct 2024
Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution
  Convolutional Neural Networks
Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks
Kevin Ferguson
Andrew Gillman
James Hardin
Levent Burak Kara
AI4CE
23
1
0
07 Oct 2024
SPHINX: Structural Prediction using Hypergraph Inference Network
SPHINX: Structural Prediction using Hypergraph Inference Network
Iulia Duta
Pietro Liò
28
2
0
04 Oct 2024
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks
  Simulators
MBDS: A Multi-Body Dynamics Simulation Dataset for Graph Networks Simulators
Sheng Yang
Fengge Wu
Junsuo Zhao
AI4CE
13
0
0
04 Oct 2024
Discovering Message Passing Hierarchies for Mesh-Based Physics
  Simulation
Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation
Huayu Deng
Xiangming Zhu
Yunbo Wang
Xiaokang Yang
PINN
AI4CE
29
0
0
03 Oct 2024
Is uniform expressivity too restrictive? Towards efficient expressivity
  of graph neural networks
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networks
Sammy Khalife
Josué Tonelli-Cueto
24
0
0
02 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
Bocheng Zeng
Qi Wang
M. Yan
Y. Liu
Ruizhi Chengze
Yi Zhang
Hongsheng Liu
Zidong Wang
Hao Sun
AI4CE
26
3
0
02 Oct 2024
M$^{2}$M: Learning controllable Multi of experts and multi-scale
  operators are the Partial Differential Equations need
M2^{2}2M: Learning controllable Multi of experts and multi-scale operators are the Partial Differential Equations need
Aoming Liang
Zhaoyang Mu
Pengxiao Lin
Cong Wang
Mingming Ge
Ling Shao
Dixia Fan
Hao Tang
AI4CE
26
0
0
01 Oct 2024
Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for
  complex problems
Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems
M. Chenaud
Frédéric Magoulès
José Alves
AI4CE
PINN
26
1
0
25 Sep 2024
Data-driven Viscosity Solver for Fluid Simulation
Data-driven Viscosity Solver for Fluid Simulation
Wonjung Park
Hyunsoo Kim
Jinah Park
34
0
0
23 Sep 2024
Learning to Simulate Aerosol Dynamics with Graph Neural Networks
Learning to Simulate Aerosol Dynamics with Graph Neural Networks
Fabiana Ferracina
Payton Beeler
M. Halappanavar
Bala Krishnamoorthy
Marco Minutoli
Laura Fierce
23
0
0
20 Sep 2024
Benchmarking Reliability of Deep Learning Models for Pathological Gait
  Classification
Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification
Abhishek Jaiswal
Nisheeth Srivastava
21
0
0
20 Sep 2024
Multi-Grid Graph Neural Networks with Self-Attention for Computational
  Mechanics
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
Paul Garnier
J. Viquerat
E. Hachem
AI4CE
19
0
0
18 Sep 2024
Neural Networks for Vehicle Routing Problem
Neural Networks for Vehicle Routing Problem
László Kovács
Ali Jlidi
GNN
20
0
0
17 Sep 2024
Rational-WENO: A lightweight, physically-consistent three-point weighted
  essentially non-oscillatory scheme
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
S. Shahane
Sheide Chammas
Deniz A. Bezgin
Aaron B. Buhendwa
Steffen J. Schmidt
...
Spencer H. Bryngelson
Yi-Fan Chen
Qing Wang
Fei Sha
Leonardo Zepeda-Núnez
25
1
0
13 Sep 2024
Neural Laplacian Operator for 3D Point Clouds
Neural Laplacian Operator for 3D Point Clouds
Bo Pang
Zhongtian Zheng
Yilong Li
Guoping Wang
Peng-Shuai Wang
3DPC
22
2
0
10 Sep 2024
Video-Driven Graph Network-Based Simulators
Video-Driven Graph Network-Based Simulators
Franciszek Szewczyk
Gilles Louppe
M. Sabatelli
PINN
38
0
0
10 Sep 2024
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical
  Systems
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
Fu Lin
Jiasheng Shi
Shijie Luo
Qinpei Zhao
Weixiong Rao
Lei Chen
AI4CE
27
0
0
07 Sep 2024
SITUATE: Indoor Human Trajectory Prediction through Geometric Features
  and Self-Supervised Vision Representation
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation
Luigi Capogrosso
Andrea Toaiari
Andrea Avogaro
Uzair Khan
Aditya Jivoji
Franco Fummi
Marco Cristani
26
0
0
01 Sep 2024
SympGNNs: Symplectic Graph Neural Networks for identifiying
  high-dimensional Hamiltonian systems and node classification
SympGNNs: Symplectic Graph Neural Networks for identifiying high-dimensional Hamiltonian systems and node classification
Alan John Varghese
Zhen Zhang
George Karniadakis
28
2
0
29 Aug 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Lazar Atanackovic
Xi Zhang
Brandon Amos
Mathieu Blanchette
Leo J. Lee
Yoshua Bengio
Alexander Tong
Kirill Neklyudov
31
5
0
26 Aug 2024
KAN 2.0: Kolmogorov-Arnold Networks Meet Science
KAN 2.0: Kolmogorov-Arnold Networks Meet Science
Ziming Liu
Pingchuan Ma
Yixuan Wang
Wojciech Matusik
Max Tegmark
37
61
0
19 Aug 2024
Computation-friendly Graph Neural Network Design by Accumulating
  Knowledge on Large Language Models
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models
Jialiang Wang
Shimin Di
Hanmo Liu
Zhili Wang
Jiachuan Wang
Lei Chen
Xiaofang Zhou
32
0
0
13 Aug 2024
Generalization capabilities of MeshGraphNets to unseen geometries for
  fluid dynamics
Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics
Robin Schmöcker
Alexander Henkes
Julian Roth
Thomas Wick
AI4CE
30
1
0
12 Aug 2024
Compositional Physical Reasoning of Objects and Events from Videos
Compositional Physical Reasoning of Objects and Events from Videos
Zhenfang Chen
Shilong Dong
Kexin Yi
Yunzhu Li
Mingyu Ding
Antonio Torralba
Joshua B. Tenenbaum
Chuang Gan
OCL
20
1
0
02 Aug 2024
Decomposing heterogeneous dynamical systems with graph neural networks
Decomposing heterogeneous dynamical systems with graph neural networks
Cédric Allier
Magdalena C. Schneider
Michael Innerberger
Larissa Heinrich
J. Bogovic
S. Saalfeld
CML
AI4CE
28
0
0
27 Jul 2024
SENC: Handling Self-collision in Neural Cloth Simulation
SENC: Handling Self-collision in Neural Cloth Simulation
Zhouyingcheng Liao
Sinan Wang
Taku Komura
31
2
0
17 Jul 2024
Dilated convolution neural operator for multiscale partial differential
  equations
Dilated convolution neural operator for multiscale partial differential equations
Bo Xu
Xinliang Liu
Lei Zhang
AI4CE
31
3
0
16 Jul 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with
  Geometric, Topological, and Algebraic Structures
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Sophia Sanborn
Johan Mathe
Mathilde Papillon
Domas Buracas
Hansen Lillemark
Christian Shewmake
Abby Bertics
Xavier Pennec
Nina Miolane
56
4
0
12 Jul 2024
Improving Molecular Modeling with Geometric GNNs: an Empirical Study
Improving Molecular Modeling with Geometric GNNs: an Empirical Study
Ali Ramlaoui
Théo Saulus
Basile Terver
Victor Schmidt
David Rolnick
Fragkiskos D. Malliaros
Alexandre Duval
AI4CE
38
1
0
11 Jul 2024
AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic
  Manipulation
AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation
Kaifeng Zhang
Baoyu Li
Kris Hauser
Yunzhu Li
AI4CE
36
14
0
10 Jul 2024
A review of graph neural network applications in mechanics-related
  domains
A review of graph neural network applications in mechanics-related domains
Yingxue Zhao
Haoran Li
Haosu Zhou
H. Attar
Tobias Pfaff
Nan Li
AI4CE
27
5
0
10 Jul 2024
Weak baselines and reporting biases lead to overoptimism in machine
  learning for fluid-related partial differential equations
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
N. McGreivy
Ammar Hakim
AI4CE
29
42
0
09 Jul 2024
A Review of Differentiable Simulators
A Review of Differentiable Simulators
Rhys Newbury
Jack Collins
Kerry He
Jiahe Pan
Ingmar Posner
David Howard
Akansel Cosgun
AI4CE
41
9
0
08 Jul 2024
PAPM: A Physics-aware Proxy Model for Process Systems
PAPM: A Physics-aware Proxy Model for Process Systems
Pengwei Liu
Zhongkai Hao
Xingyu Ren
Hangjie Yuan
Jiayang Ren
Dong Ni
AI4CE
PINN
40
0
0
07 Jul 2024
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly
  Sparse Graphs
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs
Hrishikesh Viswanath
Yue Chang
Julius Berner
Peter Yichen Chen
Aniket Bera
AI4CE
58
2
0
04 Jul 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CE
GNN
50
2
0
03 Jul 2024
Learning Granular Media Avalanche Behavior for Indirectly Manipulating
  Obstacles on a Granular Slope
Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope
Haodi Hu
Feifei Qian
Daniel Seita
47
1
0
02 Jul 2024
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
Bo Ai
Stephen Tian
Haochen Shi
Yixuan Wang
Cheston Tan
Yunzhu Li
Jiajun Wu
44
12
0
01 Jul 2024
Towards Understanding Sensitive and Decisive Patterns in Explainable AI:
  A Case Study of Model Interpretation in Geometric Deep Learning
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning
Jiajun Zhu
Siqi Miao
Rex Ying
Pan Li
38
1
0
30 Jun 2024
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for
  Computational Fluid Dynamics in Airfoil Design
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
Mouadh Yagoubi
David Danan
Milad Leyli-Abadi
Jean-Patrick Brunet
Jocelyn Ahmed Mazari
...
maroua gmati
A. Farjallah
Paola Cinnella
Patrick Gallinari
Marc Schoenauer
AI4CE
29
5
0
30 Jun 2024
Towards Universal Mesh Movement Networks
Towards Universal Mesh Movement Networks
Mingrui Zhang
Chunyang Wang
Stephan Kramer
Joseph G. Wallwork
Siyi Li
Jiancheng Liu
Xiang Chen
M. Piggott
AI4CE
30
0
0
29 Jun 2024
Modeling the Real World with High-Density Visual Particle Dynamics
Modeling the Real World with High-Density Visual Particle Dynamics
William F. Whitney
Jacob Varley
Deepali Jain
Krzysztof Choromanski
Sumeet Singh
Vikas Sindhwani
30
2
0
28 Jun 2024
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced
  Basis
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis
Alejandro Ribés
Nawfal Benchekroun
Théo Delagnes
AI4CE
33
1
0
27 Jun 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for
  Physical Dynamics Learning
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
Zinan Zheng
Yang Liu
Jia Li
Jianhua Yao
Yu Rong
AI4CE
43
1
0
24 Jun 2024
On instabilities in neural network-based physics simulators
On instabilities in neural network-based physics simulators
Daniel Floryan
AI4CE
25
2
0
18 Jun 2024
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