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A Generative Model For Electron Paths

A Generative Model For Electron Paths

23 May 2018
John Bradshaw
Matt J. Kusner
Brooks Paige
Marwin H. S. Segler
José Miguel Hernández-Lobato
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Papers citing "A Generative Model For Electron Paths"

18 / 18 papers shown
Title
Challenging reaction prediction models to generalize to novel chemistry
Challenging reaction prediction models to generalize to novel chemistry
John Bradshaw
Anji Zhang
Babak Mahjour
David E. Graff
Marwin H. S. Segler
Connor W. Coley
40
1
0
11 Jan 2025
BARTSmiles: Generative Masked Language Models for Molecular
  Representations
BARTSmiles: Generative Masked Language Models for Molecular Representations
Gayane Chilingaryan
Hovhannes Tamoyan
Ani Tevosyan
N. Babayan
L. Khondkaryan
Karen Hambardzumyan
Zaven Navoyan
Hrant Khachatrian
Armen Aghajanyan
SSL
35
25
0
29 Nov 2022
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
Andrea Valenti
D. Bacciu
Antonio Vergari
OOD
LRM
35
0
0
05 Oct 2022
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistry
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNN
AI4CE
50
373
0
05 Aug 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
30
90
0
19 Oct 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
21
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
44
18
0
21 Jul 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 DAGs
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
51
56
0
21 Dec 2020
Symmetry-Aware Actor-Critic for 3D Molecular Design
Symmetry-Aware Actor-Critic for 3D Molecular Design
G. Simm
Robert Pinsler
Gábor Csányi
José Miguel Hernández-Lobato
AI4CE
29
64
0
25 Nov 2020
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
25
107
0
04 Nov 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
25
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
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
G. Simm
Robert Pinsler
José Miguel Hernández-Lobato
AI4CE
21
82
0
18 Feb 2020
Learning to Control PDEs with Differentiable Physics
Learning to Control PDEs with Differentiable Physics
Philipp Holl
V. Koltun
Nils Thuerey
AI4CE
PINN
44
185
0
21 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
26
177
0
06 Jan 2020
A Generative Model for Molecular Distance Geometry
A Generative Model for Molecular Distance Geometry
G. Simm
José Miguel Hernández-Lobato
GAN
24
107
0
25 Sep 2019
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical
  Reaction Prediction
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction
P. Schwaller
Teodoro Laino
John McGuinness
A. Horváth
Constantine Bekas
A. Lee
25
719
0
06 Nov 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
273
1,896
0
10 Jan 2017
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