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Tess E. Smidt — most-cited papers & profile · Graph Learning
← authors
·
overview
Tess E. Smidt
5
papers ·
2066
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties
2020
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
2021
Top co-authors
Mario Geiger
· 2
Albert Musaelian
· 1
and Boris Kozinsky
· 1
Benjamin Kurt Miller
· 1
Frank No\'e
· 1
Jonathan P. Mailoa
· 1
Lixin Sun
· 1
Mordechai Kornbluth
· 1
Nicola Molinari
· 1
Simon Batzner
· 1
Topics
cs.LG
physics.comp-ph
physics.chem-ph
stat.ML
cond-mat.mtrl-sci