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Graph neural networks for the prediction of molecular structure-property
  relationships

Graph neural networks for the prediction of molecular structure-property relationships

25 July 2022
Jan G. Rittig
Qing-Bin Gao
Manuel Dahmen
Alexander Mitsos
Artur M. Schweidtmann
    AI4CE
ArXivPDFHTML

Papers citing "Graph neural networks for the prediction of molecular structure-property relationships"

3 / 3 papers shown
Title
GraphXForm: Graph transformer for computer-aided molecular design
GraphXForm: Graph transformer for computer-aided molecular design
Jonathan Pirnay
Jan G. Rittig
Alexander B. Wolf
Martin Grohe
Jakob Burger
Alexander Mitsos
D. G. Grimm
AI4CE
51
1
0
03 Nov 2024
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
172
1,775
0
02 Mar 2017
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
247
3,236
0
24 Nov 2016
1