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RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De
  Novo Drug Design

RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design

25 November 2020
Cheng-Hao Liu
Maksym Korablyov
Stanislaw Jastrzebski
Pawel Wlodarczyk-Pruszynski
Yoshua Bengio
Marwin H. S. Segler
    GNN
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Papers citing "RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design"

3 / 3 papers shown
Title
DEGREE: Decomposition Based Explanation For Graph Neural Networks
DEGREE: Decomposition Based Explanation For Graph Neural Networks
Qizhang Feng
Ninghao Liu
Fan Yang
Ruixiang Tang
Mengnan Du
Xia Hu
23
22
0
22 May 2023
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug
  Discovery and Development
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
J. Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Zitnik
OOD
LM&MA
30
261
0
18 Feb 2021
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as
  Sequences of Graph Edits
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
Mikolaj Sacha
Mikolaj Blaz
Piotr Byrski
Paweł Dąbrowski-Tumański
Mikołaj Chromiński
Rafał Loska
Pawel Wlodarczyk-Pruszynski
Stanislaw Jastrzebski
GNN
11
142
0
27 Jun 2020
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