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Data efficiency in graph networks through equivariance

Data efficiency in graph networks through equivariance

25 June 2021
Francesco Farina
E. Slade
ArXivPDFHTML

Papers citing "Data efficiency in graph networks through equivariance"

3 / 3 papers shown
Title
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,106
0
27 Apr 2021
Learning with invariances in random features and kernel models
Learning with invariances in random features and kernel models
Song Mei
Theodor Misiakiewicz
Andrea Montanari
OOD
46
89
0
25 Feb 2021
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
230
1,240
0
08 Jan 2021
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