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ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

2 March 2021
Weihua Hu
Muhammed Shuaibi
Abhishek Das
Siddharth Goyal
Anuroop Sriram
J. Leskovec
Devi Parikh
C. L. Zitnick
    GNN
    AI4CE
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Papers citing "ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations"

15 / 15 papers shown
Title
Relaxed Equivariance via Multitask Learning
Relaxed Equivariance via Multitask Learning
Ahmed A. A. Elhag
T. Konstantin Rusch
Francesco Di Giovanni
Michael Bronstein
42
2
0
23 Oct 2024
Physics-Informed Weakly Supervised Learning for Interatomic Potentials
Physics-Informed Weakly Supervised Learning for Interatomic Potentials
Makoto Takamoto
Viktor Zaverkin
Mathias Niepert
AI4CE
55
0
0
23 Jul 2024
Baking Symmetry into GFlowNets
Baking Symmetry into GFlowNets
George Ma
Emmanuel Bengio
Yoshua Bengio
Dinghuai Zhang
42
8
0
08 Jun 2024
FAENet: Frame Averaging Equivariant GNN for Materials Modeling
FAENet: Frame Averaging Equivariant GNN for Materials Modeling
Alexandre Duval
Victor Schmidt
A. Garcia
Santiago Miret
Fragkiskos D. Malliaros
Yoshua Bengio
David Rolnick
20
53
0
28 Apr 2023
Synthetic data enable experiments in atomistic machine learning
Synthetic data enable experiments in atomistic machine learning
John L A Gardner
Z. Beaulieu
Volker L. Deringer
29
6
0
29 Nov 2022
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistry
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNN
AI4CE
39
370
0
05 Aug 2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular
  Graphs
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
Limei Wang
Yi Liu
Yu-Ching Lin
Hao Liu
Shuiwang Ji
GNN
36
89
0
17 Jun 2022
GemNet-OC: Developing Graph Neural Networks for Large and Diverse
  Molecular Simulation Datasets
GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets
Johannes Gasteiger
Muhammed Shuaibi
Anuroop Sriram
Stephan Günnemann
Zachary W. Ulissi
C. L. Zitnick
Abhishek Das
AI4TS
MLAU
31
65
0
06 Apr 2022
Towards Training Billion Parameter Graph Neural Networks for Atomic
  Simulations
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
Anuroop Sriram
Abhishek Das
Brandon M. Wood
Siddharth Goyal
C. L. Zitnick
AI4CE
25
27
0
18 Mar 2022
Thermodynamics-informed graph neural networks
Thermodynamics-informed graph neural networks
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
AI4CE
PINN
25
31
0
03 Mar 2022
Graph Neural Networks Accelerated Molecular Dynamics
Graph Neural Networks Accelerated Molecular Dynamics
Zijie Li
Kazem Meidani
Prakarsh Yadav
A. Farimani
GNN
AI4CE
13
53
0
06 Dec 2021
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
Jonathan Godwin
Michael Schaarschmidt
Alex Gaunt
Alvaro Sanchez-Gonzalez
Yulia Rubanova
Petar Velivcković
J. Kirkpatrick
Peter W. Battaglia
31
60
0
15 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules
GemNet: Universal Directional Graph Neural Networks for Molecules
Johannes Klicpera
Florian Becker
Stephan Günnemann
AI4CE
19
433
0
02 Jun 2021
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
L. Chanussot
Abhishek Das
Siddharth Goyal
Thibaut Lavril
Muhammed Shuaibi
...
Brandon M. Wood
Junwoong Yoon
Devi Parikh
C. L. Zitnick
Zachary W. Ulissi
221
503
0
20 Oct 2020
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
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
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