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GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

28 May 2019
Kaushalya Madhawa
Katushiko Ishiguro
Kosuke Nakago
Motoki Abe
    BDL
ArXivPDFHTML

Papers citing "GraphNVP: An Invertible Flow Model for Generating Molecular Graphs"

33 / 33 papers shown
Title
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive
  and Exclusive Communities
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
Daniel Zilberg
Ron Levie
31
0
0
18 Sep 2024
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang
Marta Skreta
C. Ser
Wenhao Gao
Lingkai Kong
...
Yanqiao Zhu
Yuanqi Du
Alán Aspuru-Guzik
Kirill Neklyudov
Chao Zhang
37
12
0
23 Jun 2024
Discrete-state Continuous-time Diffusion for Graph Generation
Discrete-state Continuous-time Diffusion for Graph Generation
Zhe Xu
Ruizhong Qiu
Yuzhong Chen
Huiyuan Chen
Xiran Fan
Menghai Pan
Zhichen Zeng
Mahashweta Das
Hanghang Tong
32
8
0
19 May 2024
Genetic algorithms are strong baselines for molecule generation
Genetic algorithms are strong baselines for molecule generation
Austin Tripp
José Miguel Hernández-Lobato
30
16
0
13 Oct 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Tianchun Wang
F. Mirzazadeh
X. Zhang
Jing Chen
BDL
37
6
0
26 May 2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
Clément Vignac
Nagham Osman
Laura Toni
P. Frossard
DiffM
35
50
0
17 Feb 2023
NVDiff: Graph Generation through the Diffusion of Node Vectors
NVDiff: Graph Generation through the Diffusion of Node Vectors
Xiaohui Chen
Yukun Li
Aonan Zhang
Liping Liu
DiffM
15
21
0
19 Nov 2022
Modular Flows: Differential Molecular Generation
Modular Flows: Differential Molecular Generation
Yogesh Verma
Samuel Kaski
Markus Heinonen
Vikas K. Garg
23
14
0
12 Oct 2022
Equivariant Energy-Guided SDE for Inverse Molecular Design
Equivariant Energy-Guided SDE for Inverse Molecular Design
Fan Bao
Min Zhao
Zhongkai Hao
Pei‐Yun Li
Chongxuan Li
Jun Zhu
DiffM
179
63
0
30 Sep 2022
Molecular Design Based on Integer Programming and Quadratic Descriptors
  in a Two-layered Model
Molecular Design Based on Integer Programming and Quadratic Descriptors in a Two-layered Model
Jianshen Zhu
Naveed Ahmed Azam
Shengjuan Cao
Ryota Ido
Kazuya Haraguchi
Liang Zhao
H. Nagamochi
Tatsuya Akutsu
16
3
0
13 Sep 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
32
368
0
05 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
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
32
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
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
28
47
0
15 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
22
10
0
01 May 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
23
86
0
28 Mar 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal
  Optimization adjoint with Moving Speed
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed
Shian Du
Yihong Luo
Wei-Neng Chen
Jian Xu
Delu Zeng
14
6
0
19 Mar 2022
Score-based Generative Modeling of Graphs via the System of Stochastic
  Differential Equations
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Jaehyeong Jo
Seul Lee
Sung Ju Hwang
DiffM
22
210
0
05 Feb 2022
FastFlows: Flow-Based Models for Molecular Graph Generation
FastFlows: Flow-Based Models for Molecular Graph Generation
Nathan C. Frey
V. Gadepally
Bharath Ramsundar
14
12
0
28 Jan 2022
Differentiable Scaffolding Tree for Molecular Optimization
Differentiable Scaffolding Tree for Molecular Optimization
Tianfan Fu
Wenhao Gao
Cao Xiao
Jacob Yasonik
Connor W. Coley
Jimeng Sun
20
74
0
22 Sep 2021
An Inverse QSAR Method Based on Linear Regression and Integer
  Programming
An Inverse QSAR Method Based on Linear Regression and Integer Programming
Jianshen Zhu
Naveed Ahmed Azam
Kazuya Haraguchi
Liang Zhao
H. Nagamochi
Tatsuya Akutsu
23
1
0
06 Jul 2021
Improving Graph Neural Networks with Simple Architecture Design
Improving Graph Neural Networks with Simple Architecture Design
S. Maurya
Xin Liu
T. Murata
14
47
0
17 May 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
171
187
0
01 Feb 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
43
56
0
21 Dec 2020
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
31
145
0
13 Jul 2020
Guiding Deep Molecular Optimization with Genetic Exploration
Guiding Deep Molecular Optimization with Genetic Exploration
Sungsoo Ahn
Junsup Kim
Hankook Lee
Jinwoo Shin
21
70
0
04 Jul 2020
Categorical Normalizing Flows via Continuous Transformations
Categorical Normalizing Flows via Continuous Transformations
Phillip Lippe
E. Gavves
BDL
13
43
0
17 Jun 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular
  Design -- Toward a Unified Approach: State-of-the-Art and Future Directions
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions
Abdulelah S. Alshehri
R. Gani
Fengqi You
AI4CE
22
83
0
18 May 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
41
425
0
26 Jan 2020
Study of Deep Generative Models for Inorganic Chemical Compositions
Study of Deep Generative Models for Inorganic Chemical Compositions
Yoshihide Sawada
Koji Morikawa
Mikiya Fujii
GAN
12
13
0
25 Oct 2019
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
189
885
0
07 Jun 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
219
1,332
0
12 Feb 2018
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