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GrADE: A graph based data-driven solver for time-dependent nonlinear
  partial differential equations

GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations

24 August 2021
Y. Kumar
S. Chakraborty
ArXivPDFHTML

Papers citing "GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations"

5 / 5 papers shown
Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Z. Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei-dong Jin
AI4TS
AI4CE
84
0
0
29 Mar 2025
Scalable algorithms for physics-informed neural and graph networks
Scalable algorithms for physics-informed neural and graph networks
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINN
AI4CE
59
39
0
16 May 2022
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
150
766
0
30 Mar 2018
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
234
1,809
0
25 Nov 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
214
7,687
0
17 Aug 2015
1