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Edge Direction-invariant Graph Neural Networks for Molecular Dipole
  Moments Prediction

Edge Direction-invariant Graph Neural Networks for Molecular Dipole Moments Prediction

26 June 2022
Yang Jeong Park
    GNN
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Papers citing "Edge Direction-invariant Graph Neural Networks for Molecular Dipole Moments Prediction"

2 / 2 papers shown
Title
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
203
1,238
0
08 Jan 2021
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
194
745
0
03 Sep 2019
1