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Constraint-based graph network simulator

Constraint-based graph network simulator

16 December 2021
Yulia Rubanova
Alvaro Sanchez-Gonzalez
Tobias Pfaff
Peter W. Battaglia
    PINN
    AI4CE
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Papers citing "Constraint-based graph network simulator"

25 / 25 papers shown
Title
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation
Zeyi Xu
Jinfan Liu
Kuangxu Chen
Ye Chen
Zhangli Hu
Bingbing Ni
52
0
0
13 Mar 2025
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with
  Neural Rendering
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
Jiaxu Wang
Jingkai Sun
Junhao He
Ziyi Zhang
Qiang Zhang
Mingyuan Sun
Renjing Xu
AI4CE
30
0
0
11 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
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
Learning Iterative Reasoning through Energy Diffusion
Learning Iterative Reasoning through Energy Diffusion
Yilun Du
Jiayuan Mao
Joshua B. Tenenbaum
LRM
PINN
43
6
0
17 Jun 2024
Learning Physical Simulation with Message Passing Transformer
Learning Physical Simulation with Message Passing Transformer
Zeyi Xu
Yifei Li
AI4CE
22
1
0
10 Jun 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
32
20
0
01 Mar 2024
Bimanual Deformable Bag Manipulation Using a Structure-of-Interest Based
  Latent Dynamics Model
Bimanual Deformable Bag Manipulation Using a Structure-of-Interest Based Latent Dynamics Model
Peng Zhou
Pai Zheng
Jiaming Qi
Chenxi Li
Chenguang Yang
D. Navarro-Alarcon
Jia Pan
AI4CE
20
1
0
21 Jan 2024
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh
  Transformer
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
Youn-Yeol Yu
Jeongwhan Choi
Woojin Cho
Kookjin Lee
Nayong Kim
...
Ilho Kim
Seok-Woo Lee
Joon Young Yang
S. Yoon
Noseong Park
AI4CE
10
7
0
19 Dec 2023
Equivariance Is Not All You Need: Characterizing the Utility of
  Equivariant Graph Neural Networks for Particle Physics Tasks
Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
S. Thais
D. Murnane
AI4CE
26
4
0
06 Nov 2023
Inferring Relational Potentials in Interacting Systems
Inferring Relational Potentials in Interacting Systems
Armand Comas Massagu´e
Yilun Du
Christian Fernández
S. Ghimire
M. Sznaier
J. Tenenbaum
Octavia Camps
14
4
0
23 Oct 2023
Graph Neural Network-based surrogate model for granular flows
Graph Neural Network-based surrogate model for granular flows
Yongjin Choi
Krishna Kumar
AI4CE
11
23
0
09 May 2023
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with
  Neural ODEs
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs
Theodor Westny
Joel Oskarsson
Björn Olofsson
Erik Frisk
8
30
0
01 Feb 2023
GraphCast: Learning skillful medium-range global weather forecasting
GraphCast: Learning skillful medium-range global weather forecasting
Rémi R. Lam
Alvaro Sanchez-Gonzalez
Matthew Willson
Peter Wirnsberger
Meire Fortunato
...
Oriol Vinyals
Jacklynn Stott
Alexander Pritzel
S. Mohamed
Peter W. Battaglia
AI4Cl
13
270
0
24 Dec 2022
Learning rigid dynamics with face interaction graph networks
Learning rigid dynamics with face interaction graph networks
Kelsey R. Allen
Yulia Rubanova
Tatiana López-Guevara
William F. Whitney
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
Tobias Pfaff
3DH
GNN
AI4CE
22
34
0
07 Dec 2022
Learning Physical Dynamics with Subequivariant Graph Neural Networks
Learning Physical Dynamics with Subequivariant Graph Neural Networks
Jiaqi Han
Wenbing Huang
Hengbo Ma
Jiachen Li
J. Tenenbaum
Chuang Gan
AI4CE
PINN
20
43
0
13 Oct 2022
A composable machine-learning approach for steady-state simulations on
  high-resolution grids
A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade
C. Hill
Lalit Ghule
Jay Pathak
AI4CE
17
7
0
11 Oct 2022
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural
  Network
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
Ravinder Bhattoo
Sayan Ranu
N. M. A. Krishnan
AI4CE
26
17
0
23 Sep 2022
Learning Iterative Reasoning through Energy Minimization
Learning Iterative Reasoning through Energy Minimization
Yilun Du
Shuang Li
J. Tenenbaum
Igor Mordatch
PINN
8
23
0
30 Jun 2022
Equilibrium Aggregation: Encoding Sets via Optimization
Equilibrium Aggregation: Encoding Sets via Optimization
Sergey Bartunov
F. Fuchs
Timothy Lillicrap
11
7
0
25 Feb 2022
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
121
419
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
139
219
0
29 Sep 2019
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
258
1,398
0
01 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,230
0
24 Nov 2016
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