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Learning to Make Generalizable and Diverse Predictions for
  Retrosynthesis

Learning to Make Generalizable and Diverse Predictions for Retrosynthesis

21 October 2019
Benson Chen
T. Shen
Tommi Jaakkola
Regina Barzilay
ArXivPDFHTML

Papers citing "Learning to Make Generalizable and Diverse Predictions for Retrosynthesis"

11 / 11 papers shown
Title
DirectMultiStep: Direct Route Generation for Multistep Retrosynthesis
DirectMultiStep: Direct Route Generation for Multistep Retrosynthesis
Yu Shee
Haote Li
Anton Morgunov
Victor S. Batista
48
1
0
22 May 2024
MotifRetro: Exploring the Combinability-Consistency Trade-offs in
  retrosynthesis via Dynamic Motif Editing
MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing
Zhangyang Gao
Xingran Chen
Cheng Tan
Stan Z. Li
25
1
0
20 May 2023
G-MATT: Single-step Retrosynthesis Prediction using Molecular Grammar
  Tree Transformer
G-MATT: Single-step Retrosynthesis Prediction using Molecular Grammar Tree Transformer
K. Zhang
Vipul Mann
V. Venkatasubramanian
22
7
0
04 May 2023
Recent advances in artificial intelligence for retrosynthesis
Recent advances in artificial intelligence for retrosynthesis
Zipeng Zhong
Jie Song
Zunlei Feng
Tiantao Liu
Lingxiang Jia
Shaolun Yao
Tingjun Hou
Mingli Song
29
5
0
14 Jan 2023
FusionRetro: Molecule Representation Fusion via In-Context Learning for
  Retrosynthetic Planning
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
Songtao Liu
Zhengkai Tu
Minkai Xu
Zuobai Zhang
Lu Lin
Rex Ying
Jian Tang
Peilin Zhao
Dinghao Wu
38
12
0
30 Sep 2022
Permutation invariant graph-to-sequence model for template-free
  retrosynthesis and reaction prediction
Permutation invariant graph-to-sequence model for template-free retrosynthesis and reaction prediction
Zhengkai Tu
Connor W. Coley
27
90
0
19 Oct 2021
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
Katsuhiko Ishiguro
K. Ujihara
R. Sawada
Hirotaka Akita
Masaaki Kotera
27
6
0
02 Oct 2020
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
22
142
0
27 Jun 2020
Learning Graph Models for Retrosynthesis Prediction
Learning Graph Models for Retrosynthesis Prediction
Vignesh Ram Somnath
Charlotte Bunne
Connor W. Coley
Andreas Krause
Regina Barzilay
27
90
0
12 Jun 2020
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,338
0
12 Feb 2018
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
259
1,896
0
10 Jan 2017
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