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

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

5 October 2022

Chenfanfu Jiang

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 Rudy Morel Jiequn Han Edouard Oyallon AI4CE 51 0 0 28 Apr 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino Tobias Pfaff Nils Thuerey DiffM AI4CE 33 3 0 19 Mar 2025
Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation Huayu Deng Xiangming Zhu Yunbo Wang Xiaokang Yang PINN AI4CE 24 0 0 03 Oct 2024
Learning Physical Simulation with Message Passing Transformer Zeyi Xu Yifei Li AI4CE 22 1 0 10 Jun 2024
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 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 Yang Liu Jiashun Cheng Haihong Zhao Tingyang Xu P. Zhao Fugee Tsung Jia Li Yu Rong AI4CE 23 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 F. Casenave B. Staber Xavier Roynard AI4CE 19 13 0 22 May 2023
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 C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 14,047 0 02 Dec 2016