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Molecular Transformer - A Model for Uncertainty-Calibrated Chemical
  Reaction Prediction

Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction

6 November 2018
P. Schwaller
Teodoro Laino
John McGuinness
A. Horváth
Constantine Bekas
A. Lee
ArXivPDFHTML

Papers citing "Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction"

11 / 61 papers shown
Title
Drug discovery with explainable artificial intelligence
Drug discovery with explainable artificial intelligence
José Jiménez-Luna
F. Grisoni
G. Schneider
30
625
0
01 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
30
142
0
27 Jun 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
19
6
0
05 Mar 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
24
46
0
21 Oct 2019
Predicting retrosynthetic pathways using a combined linguistic model and
  hyper-graph exploration strategy
Predicting retrosynthetic pathways using a combined linguistic model and hyper-graph exploration strategy
P. Schwaller
Riccardo Petraglia
Valerio Zullo
Vishnu H. Nair
Rico Häuselmann
Riccardo Pisoni
C. Bekas
A. Iuliano
Teodoro Laino
14
17
0
17 Oct 2019
Conditional molecular design with deep generative models
Conditional molecular design with deep generative models
Seokho Kang
Kyunghyun Cho
BDL
175
183
0
30 Apr 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
233
1,340
0
12 Feb 2018
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
39
76
0
16 Sep 2017
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
273
1,896
0
10 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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