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Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN

Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN

5 October 2022
Yadi Cao
Menglei Chai
Minchen Li
Chenfanfu Jiang
    AI4CE
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Papers citing "Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN"

10 / 10 papers shown
Title
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
Rudy Morel
Jiequn Han
Edouard Oyallon
AI4CE
51
0
0
28 Apr 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Mario Lino
Tobias Pfaff
Nils Thuerey
DiffM
AI4CE
36
3
0
19 Mar 2025
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
Learning Physical Simulation with Message Passing Transformer
Learning Physical Simulation with Message Passing Transformer
Zeyi Xu
Yifei Li
AI4CE
25
1
0
10 Jun 2024
From Structured to Unstructured:A Comparative Analysis of Computer
  Vision and Graph Models in solving Mesh-based PDEs
From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs
J. Decke
Olaf Wünsch
Bernhard Sick
Christian Gruhl
27
0
0
31 May 2024
Community-Invariant Graph Contrastive Learning
Community-Invariant Graph Contrastive Learning
Shiyin Tan
Dongyuan Li
Renhe Jiang
Ying Zhang
Manabu Okumura
OOD
44
3
0
02 May 2024
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical
  Inductive Biases
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
Yang Liu
Jiashun Cheng
Haihong Zhao
Tingyang Xu
P. Zhao
Fugee Tsung
Jia Li
Yu Rong
AI4CE
30
18
0
25 Aug 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for
  regression of physical problems under non-parameterized geometrical
  variability
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability
F. Casenave
B. Staber
Xavier Roynard
AI4CE
19
13
0
22 May 2023
Fourier Neural Operator with Learned Deformations for PDEs on General
  Geometries
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
AI4CE
108
246
0
11 Jul 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,047
0
02 Dec 2016
1