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Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

29 November 2018
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
Stanislav Belyaev
Rauf Kurbanov
A. Artamonov
V. Aladinskiy
M. Veselov
Artur Kadurin
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
    ELM
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Papers citing "Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models"

50 / 181 papers shown
Title
Equivariant Shape-Conditioned Generation of 3D Molecules for
  Ligand-Based Drug Design
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design
Keir Adams
Connor W. Coley
34
25
0
06 Oct 2022
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman
Adji Bousso Dieng
EGVM
82
109
0
05 Oct 2022
Probabilistic Generative Transformer Language models for Generative
  Design of Molecules
Probabilistic Generative Transformer Language models for Generative Design of Molecules
Lai Wei
Nihang Fu
Yuqi Song
Qian Wang
Jianjun Hu
AI4CE
31
11
0
20 Sep 2022
Graph Neural Networks for Molecules
Graph Neural Networks for Molecules
Yuyang Wang
Zijie Li
A. Farimani
GNN
AI4CE
45
20
0
12 Sep 2022
Exploiting Pretrained Biochemical Language Models for Targeted Drug
  Design
Exploiting Pretrained Biochemical Language Models for Targeted Drug Design
Gökçe Uludogan
Elif Özkirimli
K. Ülgen
N. Karalı
Arzucan Özgür
12
15
0
02 Sep 2022
A biologically-inspired multi-modal evaluation of molecular generative
  machine learning
A biologically-inspired multi-modal evaluation of molecular generative machine learning
E. Vinogradova
Abay Artykbayev
Alisher Amanatay
Mukhamejan Karatayev
Maxim Mametkulov
...
K. Pats
Rustam Zhumagambetov
Ferdinand Molnár
Vsevolod A. Peshkov
S. Fazli
ELM
13
0
0
20 Aug 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
29
28
0
19 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
11
26
0
08 Jul 2022
Materials Transformers Language Models for Generative Materials Design:
  a benchmark study
Materials Transformers Language Models for Generative Materials Design: a benchmark study
Nihang Fu
Lai Wei
Yuqi Song
Qinyang Li
Rui Xin
Sadman Sadeed Omee
Rongzhi Dong
Edirisuriya M Dilanga Siriwardane
Jianjun Hu
14
2
0
27 Jun 2022
LIMO: Latent Inceptionism for Targeted Molecule Generation
LIMO: Latent Inceptionism for Targeted Molecule Generation
Peter Eckmann
Kunyang Sun
Bo-Lu Zhao
Mudong Feng
Michael K. Gilson
Rose Yu
BDL
41
44
0
17 Jun 2022
An Unpooling Layer for Graph Generation
An Unpooling Layer for Graph Generation
Yi Guo
Dongmian Zou
Gilad Lerman
10
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
15
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 K.H. Franke
Frederic Runge
Frank Hutter
15
14
0
27 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
Crystal Transformer: Self-learning neural language model for Generative
  and Tinkering Design of Materials
Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials
Lai Wei
Qinyang Li
Yuqi Song
Stanislav Stefanov
Edirisuriya M Dilanga Siriwardane
Fanglin Chen
Jianjun Hu
AI4CE
20
9
0
25 Apr 2022
Translation between Molecules and Natural Language
Translation between Molecules and Natural Language
Carl N. Edwards
T. Lai
Kevin Ros
Garrett Honke
Kyunghyun Cho
Heng Ji
25
155
0
25 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
18
0
0
19 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
20
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
A. Young
Rose Yu
A. Aspuru‐Guzik
32
147
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
28
86
0
28 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
30
36
0
15 Mar 2022
A Survey on Deep Graph Generation: Methods and Applications
A Survey on Deep Graph Generation: Methods and Applications
Yanqiao Zhu
Yuanqi Du
Yinkai Wang
Yichen Xu
Jieyu Zhang
Qiang Liu
Shu Wu
3DV
GNN
31
67
0
13 Mar 2022
Score-Based Generative Models for Molecule Generation
Score-Based Generative Models for Molecule Generation
Dwaraknath Gnaneshwar
Bharath Ramsundar
Dhairya Gandhi
Rachel C. Kurchin
V. Viswanathan
DiffM
22
11
0
07 Mar 2022
Autoencoding Hyperbolic Representation for Adversarial Generation
Autoencoding Hyperbolic Representation for Adversarial Generation
Eric Qu
Dongmian Zou
GAN
28
4
0
30 Jan 2022
FastFlows: Flow-Based Models for Molecular Graph Generation
FastFlows: Flow-Based Models for Molecular Graph Generation
Nathan C. Frey
V. Gadepally
Bharath Ramsundar
19
12
0
28 Jan 2022
Biases in In Silico Evaluation of Molecular Optimization Methods and
  Bias-Reduced Evaluation Methodology
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology
Hiroshi Kajino
Kohei Miyaguchi
Takayuki Osogami
59
1
0
28 Jan 2022
Reinforcement Learning for Personalized Drug Discovery and Design for
  Complex Diseases: A Systems Pharmacology Perspective
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective
Ryan K. Tan
Yang Liu
Lei Xie
31
2
0
21 Jan 2022
Keeping it Simple: Language Models can learn Complex Molecular
  Distributions
Keeping it Simple: Language Models can learn Complex Molecular Distributions
Daniel Flam-Shepherd
Kevin Zhu
A. Aspuru‐Guzik
131
142
0
06 Dec 2021
Sample-Efficient Generation of Novel Photo-acid Generator Molecules
  using a Deep Generative Model
Sample-Efficient Generation of Novel Photo-acid Generator Molecules using a Deep Generative Model
Samuel C. Hoffman
Vijil Chenthamarakshan
Dmitry Zubarev
Daniel P. Sanders
Payel Das
34
5
0
02 Dec 2021
HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive
  Latent Space
HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive Latent Space
Zhiyuan Chen
Xiaomin Fang
Zixu Hua
Yueyang Huang
Fan Wang
Hua-Hong Wu
MedIm
24
2
0
30 Nov 2021
DOCKSTRING: easy molecular docking yields better benchmarks for ligand
  design
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design
Miguel García-Ortegón
G. Simm
Austin Tripp
José Miguel Hernández-Lobato
A. Bender
S. Bacallado
35
75
0
29 Oct 2021
An In-depth Summary of Recent Artificial Intelligence Applications in
  Drug Design
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design
Yi Zhang
AI4CE
28
4
0
10 Oct 2021
Deep Denerative Models for Drug Design and Response
Deep Denerative Models for Drug Design and Response
Karina Zadorozhny
Lada Nuzhna
AI4CE
26
1
0
14 Sep 2021
Hybrid quantum-classical machine learning for generative chemistry and
  drug design
Hybrid quantum-classical machine learning for generative chemistry and drug design
A. I. Gircha
A. S. Boev
K. Avchaciov
P. Fedichev
A. Fedorov
AI4CE
BDL
17
26
0
26 Aug 2021
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
30
286
0
26 Jul 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques
Artificial Intelligence in Drug Discovery: Applications and Techniques
Jianyuan Deng
Zhibo Yang
Iwao Ojima
Dimitris Samaras
Fusheng Wang
AI4TS
21
99
0
09 Jun 2021
Augmenting Molecular Deep Generative Models with Topological Data
  Analysis Representations
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations
Yair Schiff
Vijil Chenthamarakshan
Samuel C. Hoffman
K. Ramamurthy
Payel Das
MedIm
22
9
0
08 Jun 2021
High-Dimensional Bayesian Optimisation with Variational Autoencoders and
  Deep Metric Learning
High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
Antoine Grosnit
Rasul Tutunov
A. Maraval
Ryan-Rhys Griffiths
Alexander I. Cowen-Rivers
...
Wenlong Lyu
Zhitang Chen
Jun Wang
Jan Peters
Haitham Bou-Ammar
BDL
DRL
22
58
0
07 Jun 2021
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug
  Discovery
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
Yulun Wu
Mikaela Cashman
Nicholas Choma
E. Prates
V. G. M. Vergara
...
M. Head
Rick L. Stevens
Peter Nugent
Daniel A. Jacobson
James B. Brown
GNN
33
10
0
04 Jun 2021
Optimizing Functionals on the Space of Probabilities with Input Convex
  Neural Networks
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
David Alvarez-Melis
Yair Schiff
Youssef Mroueh
40
52
0
01 Jun 2021
Large-Scale Wasserstein Gradient Flows
Large-Scale Wasserstein Gradient Flows
Petr Mokrov
Alexander Korotin
Lingxiao Li
Aude Genevay
Justin Solomon
Evgeny Burnaev
24
71
0
01 Jun 2021
Combating small molecule aggregation with machine learning
Combating small molecule aggregation with machine learning
Kuan-Ting Lee
An Yang
Yen-Chu Lin
D. Reker
G. Bernardes
T. Rodrigues
30
12
0
01 May 2021
Learning to design drug-like molecules in three-dimensional space using
  deep generative models
Learning to design drug-like molecules in three-dimensional space using deep generative models
Yibo Li
Jianfeng Pei
L. Lai
DiffM
32
111
0
17 Apr 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
Meng Liu
Youzhi Luo
Limei Wang
Yaochen Xie
Haonan Yuan
...
Haoran Liu
Cong Fu
Bora Oztekin
Xuan Zhang
Shuiwang Ji
GNN
21
118
0
23 Mar 2021
Generative Chemical Transformer: Neural Machine Learning of Molecular
  Geometric Structures from Chemical Language via Attention
Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention
Hyunseung Kim
Jonggeol Na
Won Bo Lee
14
46
0
27 Feb 2021
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug
  Discovery and Development
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
J. Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Zitnik
OOD
LM&MA
30
261
0
18 Feb 2021
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation
Maksim Kuznetsov
Daniil Polykovskiy
25
40
0
03 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
185
187
0
01 Feb 2021
Chemistry42: An AI-based platform for de novo molecular design
Chemistry42: An AI-based platform for de novo molecular design
Y. Ivanenkov
Alexander Zhebrak
Dmitry Bezrukov
B. Zagribelnyy
V. Aladinskiy
Daniil Polykovskiy
E. Putin
Petrina Kamya
Alex Aliper
Alex Zhavoronkov
13
6
0
22 Jan 2021
Deep Graph Generators: A Survey
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
42
57
0
31 Dec 2020
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