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Higher-Rank Irreducible Cartesian Tensors for Equivariant Message
  Passing

Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing

23 May 2024
Viktor Zaverkin
Francesco Alesiani
Takashi Maruyama
Federico Errica
Henrik Christiansen
Makoto Takamoto
Nicolas Weber
Mathias Niepert
ArXivPDFHTML

Papers citing "Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing"

4 / 4 papers shown
Title
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
Alexander Windmann
Henrik S. Steude
Daniel Boschmann
Oliver Niggemann
OOD
AI4TS
31
0
0
04 Apr 2025
Gaussian Moments as Physically Inspired Molecular Descriptors for
  Accurate and Scalable Machine Learning Potentials
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials
Viktor Zaverkin
Johannes Kastner
27
67
0
15 Sep 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
188
1,218
0
08 Jan 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
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