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2310.00618
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GNRK: Graph Neural Runge-Kutta method for solving partial differential equations
1 October 2023
Hoyun Choi
Sungyeop Lee
B. Kahng
Junghyo Jo
AI4CE
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Papers citing
"GNRK: Graph Neural Runge-Kutta method for solving partial differential equations"
9 / 9 papers shown
Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Ziqiang Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei Jin
AI4TS
AI4CE
501
1
0
29 Mar 2025
Partial Differential Equations Meet Deep Neural Networks: A Survey
Shudong Huang
Wentao Feng
Chenwei Tang
Jiancheng Lv
AI4CE
AIMat
65
20
0
27 Oct 2022
Composing Partial Differential Equations with Physics-Aware Neural Networks
Matthias Karlbauer
T. Praditia
S. Otte
S. Oladyshkin
Wolfgang Nowak
Martin Volker Butz
AI4CE
80
20
0
23 Nov 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
500
2,414
0
18 Oct 2020
Learning continuous-time PDEs from sparse data with graph neural networks
V. Iakovlev
Markus Heinonen
Harri Lähdesmäki
AI4CE
81
70
0
16 Jun 2020
Neural Operator: Graph Kernel Network for Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
199
748
0
07 Mar 2020
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
417
5,111
0
19 Jun 2018
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
761
3,121
0
04 Jun 2018
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
593
7,455
0
04 Apr 2017
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