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MolNet: A Chemically Intuitive Graph Neural Network for Prediction of
  Molecular Properties

MolNet: A Chemically Intuitive Graph Neural Network for Prediction of Molecular Properties

1 February 2022
Yeji Kim
Yoonho Jeong
Jihoo Kim
E. Lee
W. Kim
I. Choi
    GNN
ArXiv (abs)PDFHTML

Papers citing "MolNet: A Chemically Intuitive Graph Neural Network for Prediction of Molecular Properties"

2 / 2 papers shown
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST
  Representation
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST RepresentationConference on Machine Learning and Systems (MLSys), 2023
Le Chen
Quazi Ishtiaque Mahmud
Hung Phan
Nesreen Ahmed
Ali Jannesari
162
17
0
09 May 2023
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistryCommunications Materials (Commun. Mater.), 2022
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNNAI4CE
352
594
0
05 Aug 2022
1