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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"

2 / 2 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
11
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
19
258
0
18 Feb 2021
1