A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems

3 June 2024

Papers citing "A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems"

5 / 5 papers shown

Title
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots Dongwei Ye Valeria Krzhizhanovskaya Alfons G. Hoekstra OOD AI4CE 16 9 0 21 Feb 2023
An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg M. Bucci T. Faney J. Gratien Guillaume Charpiat Marc Schoenauer AI4CE 26 2 0 06 Feb 2023
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations Saurabh Deshpande Stéphane P. A. Bordas J. Lengiewicz AI4CE GNN 68 25 0 01 Nov 2022
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 129 654 0 28 Dec 2020
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016