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Do Graph Neural Networks Work for High Entropy Alloys?

Do Graph Neural Networks Work for High Entropy Alloys?

29 August 2024
Hengrui Zhang
Ruishu Huang
Jie Chen
J. Rondinelli
Wei Chen
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Do Graph Neural Networks Work for High Entropy Alloys?"

6 / 6 papers shown
Title
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast
  and Accurate Force Fields
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Ilyes Batatia
D. P. Kovács
G. Simm
Christoph Ortner
Gábor Csányi
87
485
0
15 Jun 2022
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
113
1,020
0
19 Feb 2021
Equivariant message passing for the prediction of tensorial properties
  and molecular spectra
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Kristof T. Schütt
Oliver T. Unke
M. Gastegger
110
541
0
05 Feb 2021
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
194
1,643
0
04 Oct 2018
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
596
7,485
0
04 Apr 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
415
2,473
0
10 Mar 2017
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