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Automatic chemical design using a data-driven continuous representation
  of molecules

Automatic chemical design using a data-driven continuous representation of molecules

7 October 2016
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
    3DV
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Papers citing "Automatic chemical design using a data-driven continuous representation of molecules"

50 / 832 papers shown
Title
Ab-initio quantum chemistry with neural-network wavefunctions
Ab-initio quantum chemistry with neural-network wavefunctions
J. Hermann
J. Spencer
Kenny Choo
Antonio Mezzacapo
W. Foulkes
David Pfau
Giuseppe Carleo
Frank Noé
AI4CE
37
73
0
26 Aug 2022
String-based Molecule Generation via Multi-decoder VAE
String-based Molecule Generation via Multi-decoder VAE
Kisoo Kwon
Kuhwan Jung
Jung-Geun Park
Hwidong Na
Jinwoo Shin
DRL
34
2
0
23 Aug 2022
Improving Small Molecule Generation using Mutual Information Machine
Improving Small Molecule Generation using Mutual Information Machine
Daniel A. Reidenbach
M. Livne
Rajesh Ilango
M. Gill
Johnny Israeli
28
14
0
18 Aug 2022
Quantum Machine Learning for Material Synthesis and Hardware Security
Quantum Machine Learning for Material Synthesis and Hardware Security
Collin Beaudoin
Satwik Kundu
R. Topaloglu
Swaroop Ghosh
27
5
0
16 Aug 2022
Active Learning Exploration of Transition Metal Complexes to Discover
  Method-Insensitive and Synthetically Accessible Chromophores
Active Learning Exploration of Transition Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores
Chenru Duan
Aditya Nandy
Gianmarco G. Terrones
D. Kastner
Heather J. Kulik
34
9
0
10 Aug 2022
Semi-Supervised Junction Tree Variational Autoencoder for Molecular
  Property Prediction
Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction
Atia Hamidizadeh
Tony Shen
Martin Ester
DRL
30
0
0
10 Aug 2022
Bayesian Optimization with Informative Covariance
Bayesian Optimization with Informative Covariance
Afonso Eduardo
Michael U. Gutmann
24
3
0
04 Aug 2022
Atomic structure generation from reconstructing structural fingerprints
Atomic structure generation from reconstructing structural fingerprints
Victor Fung
Shuyi Jia
Jiaxin Zhang
Sirui Bi
Junqi Yin
P. Ganesh
35
11
0
27 Jul 2022
Controllable Data Generation by Deep Learning: A Review
Controllable Data Generation by Deep Learning: A Review
Shiyu Wang
Yuanqi Du
Xiaojie Guo
Bo Pan
Zhaohui Qin
Liang Zhao
33
28
0
19 Jul 2022
Graph Neural Network Bandits
Graph Neural Network Bandits
Parnian Kassraie
Andreas Krause
Ilija Bogunovic
26
11
0
13 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled
  Objective Relaxation
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Wang
Nan Wu
Hang Yang
Cong Hao
Pan Li
37
30
0
13 Jul 2022
Accelerating Material Design with the Generative Toolkit for Scientific
  Discovery
Accelerating Material Design with the Generative Toolkit for Scientific Discovery
Matteo Manica
Jannis Born
Joris Cadow
Dimitrios Christofidellis
A. Dave
...
Lauren N. McHugh
Alexy Khrabrov
Payel Das
Seiji Takeda
John Smith
22
26
0
08 Jul 2022
Multisymplectic Formulation of Deep Learning Using Mean--Field Type
  Control and Nonlinear Stability of Training Algorithm
Multisymplectic Formulation of Deep Learning Using Mean--Field Type Control and Nonlinear Stability of Training Algorithm
Nader Ganaba
16
0
0
07 Jul 2022
Hyperbolic Molecular Representation Learning for Drug Repositioning
Hyperbolic Molecular Representation Learning for Drug Repositioning
K. Yu
Shyam Visweswaran
Kayhan Batmanghelich
18
0
0
06 Jul 2022
Graph Learning based Generative Design for Resilience of Interdependent
  Network Systems
Graph Learning based Generative Design for Resilience of Interdependent Network Systems
Jiaxin Wu
Pingfeng Wang
AI4CE
31
6
0
03 Jul 2022
PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive
  Molecular Generation
PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation
Hui Zhu
Renyi Zhou
Jing Tang
Min Li
BDL
21
4
0
02 Jul 2022
Optimizing Training Trajectories in Variational Autoencoders via Latent
  Bayesian Optimization Approach
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach
Arpan Biswas
Rama K Vasudevan
M. Ziatdinov
Sergei V. Kalinin
BDL
DRL
19
10
0
30 Jun 2022
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
Khaled Mohammed Saifuddin
Bri Bumgardnerr
Farhan Tanvir
Esra Akbas
17
27
0
25 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
Fabrizio Frasca
Beatrice Bevilacqua
Michael M. Bronstein
Haggai Maron
43
125
0
22 Jun 2022
LIMO: Latent Inceptionism for Targeted Molecule Generation
LIMO: Latent Inceptionism for Targeted Molecule Generation
Peter Eckmann
Kunyang Sun
Bo Zhao
Mudong Feng
Michael K. Gilson
Rose Yu
BDL
43
44
0
17 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark
GOOD: A Graph Out-of-Distribution Benchmark
Shurui Gui
Xiner Li
Limei Wang
Shuiwang Ji
OOD
33
116
0
16 Jun 2022
High-Dimensional Bayesian Optimization with Constraints: Application to
  Powder Weighing
High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing
Shoki Miyagawa
Atsuyoshi Yano
N. Sawada
Isamu Ogawa
27
0
0
13 Jun 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
40
200
0
07 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
31
82
0
07 Jun 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation
Exploring Chemical Space with Score-based Out-of-distribution Generation
Seul Lee
Jaehyeong Jo
Sung Ju Hwang
OODD
30
75
0
06 Jun 2022
An Unpooling Layer for Graph Generation
An Unpooling Layer for Graph Generation
Yi Guo
Dongmian Zou
Gilad Lerman
16
2
0
04 Jun 2022
Graph Machine Learning for Design of High-Octane Fuels
Graph Machine Learning for Design of High-Octane Fuels
Jan G. Rittig
Martin Ritzert
Artur M. Schweidtmann
Stefanie Winkler
Jana M. Weber
P. Morsch
K. Heufer
Martin Grohe
Alexander Mitsos
Manuel Dahmen
31
23
0
01 Jun 2022
Probabilistic Transformer: Modelling Ambiguities and Distributions for
  RNA Folding and Molecule Design
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design
Jörg Franke
Frederic Runge
Frank Hutter
17
14
0
27 May 2022
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
A. Maraval
Matthieu Zimmer
Antoine Grosnit
Rasul Tutunov
Jun Wang
H. Ammar
30
2
0
27 May 2022
Associative Learning Mechanism for Drug-Target Interaction Prediction
Associative Learning Mechanism for Drug-Target Interaction Prediction
Zhiqin Zhu
Zheng Yao
Guanqiu Qi
Neal Mazur
Baisheng Cong
OOD
14
30
0
24 May 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property
  Prediction
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Kuangqi Zhou
Kaixin Wang
Jiashi Feng
Jian Tang
Tingyang Xu
Xinchao Wang
29
1
0
23 May 2022
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular
  Linker Design
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design
Yinan Huang
Xing Peng
Jianzhu Ma
Muhan Zhang
BDL
30
48
0
15 May 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Xingang Peng
Shitong Luo
Jiaqi Guan
Qi Xie
Jian-wei Peng
Jianzhu Ma
27
176
0
15 May 2022
GPN: A Joint Structural Learning Framework for Graph Neural Networks
GPN: A Joint Structural Learning Framework for Graph Neural Networks
Qianggang Ding
Deheng Ye
Tingyang Xu
P. Zhao
26
0
0
12 May 2022
Conditional $β$-VAE for De Novo Molecular Generation
Conditional βββ-VAE for De Novo Molecular Generation
Ryan J. Richards
A. Groener
BDL
DRL
24
10
0
01 May 2022
3D pride without 2D prejudice: Bias-controlled multi-level generative
  models for structure-based ligand design
3D pride without 2D prejudice: Bias-controlled multi-level generative models for structure-based ligand design
Lucian Chan
Rajendra Kumar
M. Verdonk
C. Poelking
DiffM
AI4CE
24
2
0
22 Apr 2022
Accelerating Inhibitor Discovery With A Deep Generative Foundation
  Model: Validation for SARS-CoV-2 Drug Targets
Accelerating Inhibitor Discovery With A Deep Generative Foundation Model: Validation for SARS-CoV-2 Drug Targets
Vijil Chenthamarakshan
Samuel C. Hoffman
C. Owen
P. Lukacik
C. Strain-Damerell
...
Aleksandra Mojsilović
J. Crain
Martin A. Walsh
David I. Stuart
Payel Das
26
0
0
19 Apr 2022
Generating 3D Molecules for Target Protein Binding
Generating 3D Molecules for Target Protein Binding
Meng Liu
Youzhi Luo
Kanji Uchino
Koji Maruhashi
Shuiwang Ji
16
113
0
19 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
G. Loaiza-Ganem
Brendan Leigh Ross
Jesse C. Cresswell
Anthony L. Caterini
GAN
DRL
19
28
0
14 Apr 2022
Accelerated Design and Deployment of Low-Carbon Concrete for Data
  Centers
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers
Xiou Ge
Richard Goodwin
Haizi Yu
Pablo Romero
Omar Abdelrahman
Amruta Sudhalkar
Julius Kusuma
Ryan Cialdella
Nakul Garg
L. Varshney
22
10
0
11 Apr 2022
In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative
  Small-Molecule Creation
In-Pocket 3D Graphs Enhance Ligand-Target Compatibility in Generative Small-Molecule Creation
Seung-gu Kang
J. Weber
Joseph A. Morrone
Leili Zhang
T. Huynh
Wendy D. Cornell
DiffM
21
3
0
05 Apr 2022
Generative Enriched Sequential Learning (ESL) Approach for Molecular
  Design via Augmented Domain Knowledge
Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge
M. S. Ghaemi
Karl Grantham
Isaac Tamblyn
Yifeng Li
H. K. Ooi
33
3
0
05 Apr 2022
SELFIES and the future of molecular string representations
SELFIES and the future of molecular string representations
Mario Krenn
Qianxiang Ai
Senja Barthel
Nessa Carson
Angelo Frei
...
Andrew Wang
Andrew D. White
Adamo Young
Rose Yu
A. Aspuru‐Guzik
38
149
0
31 Mar 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
36
86
0
28 Mar 2022
Inverse Design and Experimental Verification of a Bianisotropic
  Metasurface Using Optimization and Machine Learning
Inverse Design and Experimental Verification of a Bianisotropic Metasurface Using Optimization and Machine Learning
Stewart Pearson
Parinaz Naseri
S. Hum
11
0
0
28 Mar 2022
Meaningful machine learning models and machine-learned pharmacophores
  from fragment screening campaigns
Meaningful machine learning models and machine-learned pharmacophores from fragment screening campaigns
C. Poelking
G. Chessari
C. Murray
Richard J. Hall
Lucy J. Colwell
M. Verdonk
19
5
0
25 Mar 2022
Accelerating Bayesian Optimization for Biological Sequence Design with
  Denoising Autoencoders
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
Samuel Stanton
Wesley J. Maddox
Nate Gruver
Phillip M. Maffettone
E. Delaney
Peyton Greenside
A. Wilson
BDL
38
89
0
23 Mar 2022
A 3D Generative Model for Structure-Based Drug Design
A 3D Generative Model for Structure-Based Drug Design
Shitong Luo
Jiaqi Guan
Jianzhu Ma
Jian-wei Peng
DiffM
69
178
0
20 Mar 2022
Learning Representation for Bayesian Optimization with Collision-free
  Regularization
Learning Representation for Bayesian Optimization with Collision-free Regularization
Fengxue Zhang
Brian D. Nord
Yuxin Chen
OOD
BDL
19
2
0
16 Mar 2022
Data-Efficient Graph Grammar Learning for Molecular Generation
Data-Efficient Graph Grammar Learning for Molecular Generation
Minghao Guo
Veronika Thost
Beichen Li
Payel Das
Jie Chen
Wojciech Matusik
43
36
0
15 Mar 2022
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