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Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic
  Systems
v1v2v3 (latest)

Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems

24 May 2023
Lingbing Guo
Wei Wang
Zhuo Chen
Ningyu Zhang
Zequn Sun
Yixuan Lai
Qiang Zhang
Huajun Chen
ArXiv (abs)PDFHTML

Papers citing "Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems"

28 / 28 papers shown
Title
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
134
23
0
01 Mar 2024
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant
  Interaction Reasoning
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Chenxin Xu
R. Tan
Yuhong Tan
Siheng Chen
Yu Wang
Xinchao Wang
Yanfeng Wang
100
105
0
20 Mar 2023
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory
  Prediction with Relational Reasoning
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning
Chenxin Xu
Maosen Li
Zhenyang Ni
Ya Zhang
Siheng Chen
53
156
0
19 Apr 2022
Equivariant Graph Mechanics Networks with Constraints
Equivariant Graph Mechanics Networks with Constraints
Wen-bing Huang
J. Han
Yu Rong
Tingyang Xu
Gang Hua
Junzhou Huang
AI4CE
73
80
0
12 Mar 2022
Roto-translated Local Coordinate Frames For Interacting Dynamical
  Systems
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Miltiadis Kofinas
N. S. Nagaraja
E. Gavves
AI4CE
88
32
0
28 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message
  Passing
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
Johannes Brandstetter
Rob D. Hesselink
Elise van der Pol
Erik J. Bekkers
Max Welling
100
244
0
06 Oct 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
113
1,033
0
19 Feb 2021
Learning Mesh-Based Simulation with Graph Networks
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff
Meire Fortunato
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
AI4CE
82
804
0
07 Oct 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
153
697
0
18 Jun 2020
Learning to Simulate Complex Physics with Graph Networks
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINNAI4CE
145
1,101
0
21 Feb 2020
Graph Neural Ordinary Differential Equations
Graph Neural Ordinary Differential Equations
Michael Poli
Stefano Massaroli
Junyoung Park
Atsushi Yamashita
Hajime Asama
Jinkyoo Park
AI4CE
137
163
0
18 Nov 2019
Equivariant Flows: sampling configurations for multi-body systems with
  symmetric energies
Equivariant Flows: sampling configurations for multi-body systems with symmetric energies
Jonas Köhler
Leon Klein
Frank Noé
81
91
0
02 Oct 2019
Hamiltonian Graph Networks with ODE Integrators
Hamiltonian Graph Networks with ODE Integrators
Alvaro Sanchez-Gonzalez
V. Bapst
Kyle Cranmer
Peter W. Battaglia
AI4CE
99
179
0
27 Sep 2019
Learning to Exploit Long-term Relational Dependencies in Knowledge
  Graphs
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
Lingbing Guo
Zequn Sun
Wei Hu
72
268
0
13 May 2019
Flexible Neural Representation for Physics Prediction
Flexible Neural Representation for Physics Prediction
Damian Mrowca
Chengxu Zhuang
E. Wang
Nick Haber
Li Fei-Fei
J. Tenenbaum
Daniel L. K. Yamins
OCLAI4CE
70
249
0
21 Jun 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
437
5,157
0
19 Jun 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
98
978
0
22 Feb 2018
DeePMD-kit: A deep learning package for many-body potential energy
  representation and molecular dynamics
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics
Han Wang
Linfeng Zhang
Jiequn Han
E. Weinan
AI4CE
72
1,244
0
11 Dec 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
786
132,363
0
12 Jun 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CEOCLPINNGNN
545
1,412
0
01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
662
29,156
0
09 Sep 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
432
10,531
0
21 Jul 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDLDRL
150
1,825
0
15 Jun 2016
Exploring the Limits of Language Modeling
Exploring the Limits of Language Modeling
Rafal Jozefowicz
Oriol Vinyals
M. Schuster
Noam M. Shazeer
Yonghui Wu
201
1,145
0
07 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
99
915
0
06 Feb 2016
Grammar as a Foreign Language
Grammar as a Foreign Language
Oriol Vinyals
Lukasz Kaiser
Terry Koo
Slav Petrov
Ilya Sutskever
Geoffrey E. Hinton
121
932
0
23 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
1