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A Geometric Insight into Equivariant Message Passing Neural Networks on
  Riemannian Manifolds

A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds

16 October 2023
Ilyes Batatia
ArXivPDFHTML

Papers citing "A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds"

3 / 3 papers shown
Title
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant
  Aggregator Network for Particle Physics
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics
A. Bogatskiy
Timothy Hoffman
David W. Miller
Jan T. Offermann
21
30
0
01 Nov 2022
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
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
206
1,240
0
08 Jan 2021
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