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Graph Transformation Policy Network for Chemical Reaction Prediction

Graph Transformation Policy Network for Chemical Reaction Prediction

22 December 2018
Kien Do
T. Tran
Svetha Venkatesh
ArXiv (abs)PDFHTML

Papers citing "Graph Transformation Policy Network for Chemical Reaction Prediction"

19 / 69 papers shown
Title
A Review of Graph Neural Networks and Their Applications in Power
  Systems
A Review of Graph Neural Networks and Their Applications in Power SystemsJournal of Modern Power Systems and Clean Energy (JMPSCE), 2021
Wenlong Liao
B. Bak‐Jensen
J. Pillai
Yuelong Wang
Yusen Wang
GNNAI4CE
300
291
0
25 Jan 2021
Barking up the right tree: an approach to search over molecule synthesis
  DAGs
Barking up the right tree: an approach to search over molecule synthesis DAGsNeural Information Processing Systems (NeurIPS), 2020
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
287
67
0
21 Dec 2020
Non-autoregressive electron flow generation for reaction prediction
Hangrui Bi
Hengyi Wang
Chence Shi
Jian Tang
205
0
0
16 Dec 2020
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph GenerationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Xiaojie Guo
Bo Pan
MedIm
420
178
0
13 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular
  Property Prediction
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Zhong Hao
Chengqiang Lu
Zheyuan Hu
Hongya Wang
Zhenya Huang
Qi Liu
Enhong Chen
Cheekong Lee
182
155
0
07 Jul 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
278
177
0
27 Jun 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of
  Graph Neural Networks
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2020
Weilin Cong
R. Forsati
M. Kandemir
M. Mahdavi
288
95
0
24 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral
Graph Neural Networks in TensorFlow and Keras with Spektral
Daniele Grattarola
Cesare Alippi
GNN
255
163
0
22 Jun 2020
Explanation-based Weakly-supervised Learning of Visual Relations with
  Graph Networks
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks
Federico Baldassarre
Kevin Smith
Josephine Sullivan
Hossein Azizpour
219
25
0
16 Jun 2020
Graph-Aware Transformer: Is Attention All Graphs Need?
Graph-Aware Transformer: Is Attention All Graphs Need?
Sang-yong Yoo
Young-Seok Kim
Kang Lee
Kuhwan Jeong
Junhwi Choi
Hoshik Lee
Y. S. Choi
GNN
169
11
0
09 Jun 2020
Learning to simulate and design for structural engineering
Learning to simulate and design for structural engineeringInternational Conference on Machine Learning (ICML), 2020
Kai-Hung Chang
Chin-Yi Cheng
AI4CE
286
61
0
20 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
132
6
0
05 Mar 2020
Graph Representation learning for Audio & Music genre Classification
Graph Representation learning for Audio & Music genre Classification
Shubham Dokania
Vasudev Singh
GNN
97
9
0
23 Oct 2019
Node Injection Attacks on Graphs via Reinforcement Learning
Node Injection Attacks on Graphs via Reinforcement Learning
Yiwei Sun
Suhang Wang
Xianfeng Tang
Tsung-Yu Hsieh
Vasant Honavar
GNNAAML
162
46
0
14 Sep 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.9K
6,340
0
20 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
436
1,482
0
11 Dec 2018
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical
  Reaction Prediction
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction PredictionACS Central Science (ACS Cent. Sci.), 2018
P. Schwaller
Teodoro Laino
John McGuinness
A. Horváth
Constantine Bekas
A. Lee
364
865
0
06 Nov 2018
Relational dynamic memory networks
Relational dynamic memory networks
Trang Pham
T. Tran
Svetha Venkatesh
GNN
193
3
0
10 Aug 2018
Deep Graph Translation
Deep Graph Translation
Xiaojie Guo
Lingfei Wu
Bo Pan
GNN
186
35
0
25 May 2018
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