Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2106.04880
Cited By
Self-Improved Retrosynthetic Planning
9 June 2021
Junsup Kim
SungSoo Ahn
Hankook Lee
Jinwoo Shin
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Self-Improved Retrosynthetic Planning"
18 / 18 papers shown
Title
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design
Cheng-Hao Liu
Maksym Korablyov
Stanislaw Jastrzebski
Pawel Wlodarczyk-Pruszynski
Yoshua Bengio
Marwin H. S. Segler
GNN
54
16
0
25 Nov 2020
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Chao-chao Yan
Qianggang Ding
P. Zhao
Shuangjia Zheng
Jinyu Yang
Yang Yu
Junzhou Huang
52
107
0
04 Nov 2020
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Binghong Chen
Chengtao Li
H. Dai
Le Song
39
108
0
29 Jun 2020
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi
Minkai Xu
Hongyu Guo
Ming Zhang
Jian Tang
39
153
0
28 Mar 2020
Retrosynthesis Prediction with Conditional Graph Logic Network
H. Dai
Chengtao Li
Connor W. Coley
Bo Dai
Le Song
49
182
0
06 Jan 2020
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees
Thomas W. Anthony
Robert Nishihara
Philipp Moritz
Tim Salimans
John Schulman
63
30
0
07 Apr 2019
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees
Binghong Chen
Bo Dai
Qinjie Lin
Guo Ye
Han Liu
Le Song
55
52
0
28 Feb 2019
Graph Transformation Policy Network for Chemical Reaction Prediction
Kien Do
T. Tran
Svetha Venkatesh
104
162
0
22 Dec 2018
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction
P. Schwaller
Teodoro Laino
John McGuinness
A. Horváth
Constantine Bekas
A. Lee
103
737
0
06 Nov 2018
A Generative Model For Electron Paths
John Bradshaw
Matt J. Kusner
Brooks Paige
Marwin H. S. Segler
José Miguel Hernández-Lobato
51
56
0
23 May 2018
Learning to Search via Retrospective Imitation
Jialin Song
Ravi Lanka
Albert Zhao
Aadyot Bhatnagar
Yisong Yue
M. Ono
OffRL
39
32
0
03 Apr 2018
"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models
P. Schwaller
T. Gaudin
D. Lanyi
C. Bekas
Teodoro Laino
70
281
0
13 Nov 2017
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Wengong Jin
Connor W. Coley
Regina Barzilay
Tommi Jaakkola
65
274
0
13 Sep 2017
Learning to Plan Chemical Syntheses
Marwin H. S. Segler
Mike Preuss
M. Waller
70
1,371
0
14 Aug 2017
Retrosynthetic reaction prediction using neural sequence-to-sequence models
Bowen Liu
Bharath Ramsundar
Prasad Kawthekar
Jade Shi
Joseph Gomes
Quang Luu Nguyen
Stephen Ho
Jack L. Sloane
P. Wender
Vijay S. Pande
53
418
0
06 Jun 2017
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas W. Anthony
Zheng Tian
David Barber
85
395
0
23 May 2017
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.3K
149,842
0
22 Dec 2014
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
192
3,211
0
02 Nov 2010
1