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

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

10 July 2024

Yingxue Zhao

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 Dominik Dold Derek Aranguren van Egmond AI4CE 21 12 0 11 Apr 2023
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 L. Mandelli Stefano Berretti 3DPC 3DV 46 6 0 30 Oct 2022
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 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 Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016