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Bringing Atomistic Deep Learning to Prime Time

Bringing Atomistic Deep Learning to Prime Time

9 December 2021
Nathan C. Frey
S. Samsi
Bharath Ramsundar
Connor W. Coley
V. Gadepally
    AI4CE
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Papers citing "Bringing Atomistic Deep Learning to Prime Time"

4 / 4 papers shown
Title
Scalable Geometric Deep Learning on Molecular Graphs
Scalable Geometric Deep Learning on Molecular Graphs
Nathan C. Frey
S. Samsi
Joseph McDonald
Lin Li
Connor W. Coley
V. Gadepally
GNN
AI4CE
9
4
0
06 Dec 2021
Accelerating high-throughput virtual screening through molecular
  pool-based active learning
Accelerating high-throughput virtual screening through molecular pool-based active learning
David E. Graff
E. Shakhnovich
Connor W. Coley
76
142
0
13 Dec 2020
Gryffin: An algorithm for Bayesian optimization of categorical variables
  informed by expert knowledge
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge
Florian Hase
Matteo Aldeghi
Riley J. Hickman
L. Roch
Alán Aspuru-Guzik
43
103
0
26 Mar 2020
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
236
3,234
0
24 Nov 2016
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