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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
ArXivPDFHTML

Papers citing "A review of graph neural network applications in mechanics-related domains"

6 / 6 papers shown
Title
Differentiable graph-structured models for inverse design of lattice materials
Differentiable graph-structured models for inverse design of lattice materials
Dominik Dold
Derek Aranguren van Egmond
AI4CE
21
12
0
11 Apr 2023
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
Saurabh Deshpande
Stéphane P. A. Bordas
J. Lengiewicz
AI4CE
GNN
82
28
0
01 Nov 2022
CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP format
CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP format
L. Mandelli
Stefano Berretti
3DPC
3DV
46
6
0
30 Oct 2022
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks
Peerasait Prachaseree
Emma Lejeune
PINN
AI4CE
33
11
0
03 Feb 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
14,103
0
02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016