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MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction

MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction

27 September 2022
Jiahan Liu
Chao-chao Yan
Yang Yu
Chan Lu
Junzhou Huang
Le Ou-Yang
P. Zhao
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Papers citing "MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction"

15 / 15 papers shown
Title
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
214
199
0
01 Feb 2021
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
73
780
0
08 Sep 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
60
144
0
27 Jun 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
MoFlow: An Invertible Flow Model for Generating Molecular Graphs
Chengxi Zang
Fei Wang
BDL
114
292
0
17 Jun 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
158
438
0
26 Jan 2020
Retrosynthesis Prediction with Conditional Graph Logic Network
Retrosynthesis Prediction with Conditional Graph Logic Network
H. Dai
Chengtao Li
Connor W. Coley
Bo Dai
Le Song
51
182
0
06 Jan 2020
Learning to Make Generalizable and Diverse Predictions for
  Retrosynthesis
Learning to Make Generalizable and Diverse Predictions for Retrosynthesis
Benson Chen
T. Shen
Tommi Jaakkola
Regina Barzilay
54
46
0
21 Oct 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Kaushalya Madhawa
Katushiko Ishiguro
Kosuke Nakago
Motoki Abe
BDL
98
191
0
28 May 2019
Graph Matching Networks for Learning the Similarity of Graph Structured
  Objects
Graph Matching Networks for Learning the Similarity of Graph Structured Objects
Yujia Li
Chenjie Gu
T. Dullien
Oriol Vinyals
Pushmeet Kohli
96
528
0
29 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
210
4,334
0
06 Mar 2019
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
274
902
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
333
1,367
0
12 Feb 2018
Retrosynthetic reaction prediction using neural sequence-to-sequence
  models
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
55
418
0
06 Jun 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
288
8,091
0
13 Aug 2016
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
534
12,692
0
11 Dec 2014
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