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Retrosynthesis Prediction with Conditional Graph Logic Network

Retrosynthesis Prediction with Conditional Graph Logic Network

6 January 2020
H. Dai
Chengtao Li
Connor W. Coley
Bo Dai
Le Song
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Papers citing "Retrosynthesis Prediction with Conditional Graph Logic Network"

34 / 84 papers shown
Title
DFG-NAS: Deep and Flexible Graph Neural Architecture Search
DFG-NAS: Deep and Flexible Graph Neural Architecture Search
Wentao Zhang
Zheyu Lin
Yu Shen
Yang Li
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
27
5
0
17 Jun 2022
$\mathsf{G^2Retro}$ as a Two-Step Graph Generative Models for
  Retrosynthesis Prediction
G2Retro\mathsf{G^2Retro}G2Retro as a Two-Step Graph Generative Models for Retrosynthesis Prediction
Ziqi Chen
Oluwatosin R. Ayinde
J. Fuchs
Huan Sun
Xia Ning
17
25
0
10 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks
Model Degradation Hinders Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Ziqi Yin
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
21
39
0
09 Jun 2022
G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural
  Network and Self-Training
G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural Network and Self-Training
Zaiyun Lin
Shiqiu Yin
Lei Shi
Wenbiao Zhou
Yingsheng J. Zhang
23
8
0
19 Apr 2022
Root-aligned SMILES: A Tight Representation for Chemical Reaction
  Prediction
Root-aligned SMILES: A Tight Representation for Chemical Reaction Prediction
Zipeng Zhong
Jie Song
Zunlei Feng
Tiantao Liu
Lingxiang Jia
Shaolun Yao
Min-Ying Wu
Tingjun Hou
Mingli Song
29
53
0
22 Mar 2022
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug
  Discovery
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Zhaocheng Zhu
Chence Shi
Zuobai Zhang
Shengchao Liu
Minghao Xu
...
Chang Ma
Runcheng Liu
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
OOD
VLM
MedIm
14
70
0
16 Feb 2022
Learning to Discover Medicines
Learning to Discover Medicines
T. Nguyen
Thin Nguyen
T. Tran
32
1
0
14 Feb 2022
SemiRetro: Semi-template framework boosts deep retrosynthesis prediction
SemiRetro: Semi-template framework boosts deep retrosynthesis prediction
Zhangyang Gao
Cheng Tan
Lirong Wu
Stan Z. Li
11
17
0
12 Feb 2022
Retroformer: Pushing the Limits of Interpretable End-to-end
  Retrosynthesis Transformer
Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer
Yue Wan
Ben Liao
Chang-Yu Hsieh
Shengyu Zhang
17
10
0
29 Jan 2022
RetroComposer: Composing Templates for Template-Based Retrosynthesis
  Prediction
RetroComposer: Composing Templates for Template-Based Retrosynthesis Prediction
Chao-chao Yan
P. Zhao
Chan Lu
Yang Yu
Junzhou Huang
25
20
0
20 Dec 2021
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search
Siqi Hong
Hankui Zhuo
Kebing Jin
Guang Shao
Zhanwen Zhou
18
23
0
11 Dec 2021
threaTrace: Detecting and Tracing Host-based Threats in Node Level
  Through Provenance Graph Learning
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Su Wang
Zhiliang Wang
Tao Zhou
Xia Yin
Dongqi Han
Han Zhang
Hongbin Sun
Xingang Shi
Jiahai Yang
24
69
0
08 Nov 2021
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
22
90
0
19 Oct 2021
Local Augmentation for Graph Neural Networks
Local Augmentation for Graph Neural Networks
Songtao Liu
Rex Ying
Hanze Dong
Lanqing Li
Tingyang Xu
Yu Rong
P. Zhao
Junzhou Huang
Dinghao Wu
39
91
0
08 Sep 2021
ChemiRise: a data-driven retrosynthesis engine
ChemiRise: a data-driven retrosynthesis engine
Xiangyan Sun
Ke Liu
Yuquan Lin
Lingjie Wu
Haoming Xing
...
Suocheng Tan
Zekun Ni
Qi Han
Junqiu Wu
Jie Fan
GNN
8
1
0
09 Aug 2021
Evaluating Deep Graph Neural Networks
Evaluating Deep Graph Neural Networks
Wentao Zhang
Zeang Sheng
Yuezihan Jiang
Yikuan Xia
Jun Gao
Zhi-Xin Yang
Bin Cui
GNN
AI4CE
18
31
0
02 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
38
18
0
21 Jul 2021
Dual-view Molecule Pre-training
Dual-view Molecule Pre-training
Jinhua Zhu
Yingce Xia
Tao Qin
Wen-gang Zhou
Houqiang Li
Tie-Yan Liu
AI4CE
27
51
0
17 Jun 2021
Self-Improved Retrosynthetic Planning
Self-Improved Retrosynthetic Planning
Junsup Kim
Sungsoo Ahn
Hankook Lee
Jinwoo Shin
8
26
0
09 Jun 2021
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive
  Learning
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
Hankook Lee
Sungsoo Ahn
Seungkil Seo
Y. Song
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
11
18
0
03 May 2021
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template
  Prediction
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction
Philipp Seidl
Philipp Renz
N. Dyubankova
Paulo Neves
Jonas Verhoeven
Marwin H. S. Segler
J. Wegner
Sepp Hochreiter
G. Klambauer
30
17
0
07 Apr 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling
Accurate Learning of Graph Representations with Graph Multiset Pooling
Jinheon Baek
Minki Kang
Sung Ju Hwang
28
172
0
23 Feb 2021
Unassisted Noise Reduction of Chemical Reaction Data Sets
Unassisted Noise Reduction of Chemical Reaction Data Sets
A. Toniato
P. Schwaller
Antonio Cardinale
Joppe Geluykens
Teodoro Laino
AAML
17
23
0
02 Feb 2021
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
RetroXpert: Decompose Retrosynthesis Prediction like a Chemist
Chao-chao Yan
Qianggang Ding
P. Zhao
Shuangjia Zheng
Jinyu Yang
Yang Yu
Junzhou Huang
15
107
0
04 Nov 2020
Polymer Informatics: Current Status and Critical Next Steps
Polymer Informatics: Current Status and Critical Next Steps
Lihua Chen
G. Pilania
Rohit Batra
T. D. Huan
Chiho Kim
Christopher Kuenneth
R. Ramprasad
AI4CE
12
177
0
01 Nov 2020
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
22
6
0
02 Oct 2020
Energy-based View of Retrosynthesis
Energy-based View of Retrosynthesis
Ruoxi Sun
H. Dai
Li Li
S. Kearnes
Bo Dai
25
39
0
14 Jul 2020
Neural Subgraph Matching
Neural Subgraph Matching
Rex Ying
Ying
Zhaoyu Lou
Jiaxuan You
Chengtao Wen
A. Canedo
J. Leskovec
GNN
8
85
0
06 Jul 2020
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Binghong Chen
Chengtao Li
H. Dai
Le Song
17
105
0
29 Jun 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
11
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
22
90
0
12 Jun 2020
A Graph to Graphs Framework for Retrosynthesis Prediction
A Graph to Graphs Framework for Retrosynthesis Prediction
Chence Shi
Minkai Xu
Hongyu Guo
Ming Zhang
Jian Tang
14
151
0
28 Mar 2020
A comprehensive study on the prediction reliability of graph neural
  networks for virtual screening
A comprehensive study on the prediction reliability of graph neural networks for virtual screening
Soojung Yang
K. Lee
Seongok Ryu
19
7
0
17 Mar 2020
State-of-the-Art Augmented NLP Transformer models for direct and
  single-step retrosynthesis
State-of-the-Art Augmented NLP Transformer models for direct and single-step retrosynthesis
Igor V. Tetko
Pavel Karpov
R. V. Deursen
Guillaume Godin
14
6
0
05 Mar 2020
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