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A Systematic Survey on Deep Generative Models for Graph Generation

A Systematic Survey on Deep Generative Models for Graph Generation

13 July 2020
Xiaojie Guo
Liang Zhao
    MedIm
ArXivPDFHTML

Papers citing "A Systematic Survey on Deep Generative Models for Graph Generation"

28 / 78 papers shown
Title
Deception for Cyber Defence: Challenges and Opportunities
Deception for Cyber Defence: Challenges and Opportunities
David Liebowitz
Surya Nepal
Kristen Moore
Cody James Christopher
S. Kanhere
David D. Nguyen
Roelien C. Timmer
Michael Longland
Keerth Rathakumar
24
10
0
15 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
Graph Generative Model for Benchmarking Graph Neural Networks
Graph Generative Model for Benchmarking Graph Neural Networks
Minji Yoon
Yue Wu
John Palowitch
Bryan Perozzi
Ruslan Salakhutdinov
17
7
0
10 Jul 2022
GEMS: Scene Expansion using Generative Models of Graphs
GEMS: Scene Expansion using Generative Models of Graphs
Rishi G. Agarwal
Tirupati Saketh Chandra
Vaidehi Patil
Aniruddha Mahapatra
K. Kulkarni
Vishwa Vinay
26
3
0
08 Jul 2022
Probability density estimation for sets of large graphs with respect to
  spectral information using stochastic block models
Probability density estimation for sets of large graphs with respect to spectral information using stochastic block models
Daniel Ferguson
Franccois G. Meyer
8
0
0
05 Jul 2022
Source Localization of Graph Diffusion via Variational Autoencoders for
  Graph Inverse Problems
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems
Chen Ling
Junji Jiang
Junxiang Wang
Liang Zhao
DiffM
17
44
0
24 Jun 2022
Evaluating Graph Generative Models with Contrastively Learned Features
Evaluating Graph Generative Models with Contrastively Learned Features
Hamed Shirzad
Kaveh Hassani
Danica J. Sutherland
6
7
0
13 Jun 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Yi Yang
Yanqiao Zhu
Hejie Cui
Xuan Kan
Lifang He
Ying Guo
Carl Yang
17
30
0
09 Jun 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
21
67
0
13 Mar 2022
Interpretable Molecular Graph Generation via Monotonic Constraints
Interpretable Molecular Graph Generation via Monotonic Constraints
Yuanqi Du
Xiaojie Guo
Amarda Shehu
Liang Zhao
50
19
0
28 Feb 2022
Molecule Generation for Drug Design: a Graph Learning Perspective
Molecule Generation for Drug Design: a Graph Learning Perspective
Nianzu Yang
Huaijin Wu
Xiaoyong Pan
Ye Yuan
Junchi Yan
14
13
0
18 Feb 2022
GraphTune: A Learning-based Graph Generative Model with Tunable
  Structural Features
GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features
Kohei Watabe
Shohei Nakazawa
Yoshiki Sato
Sho Tsugawa
K. Nakagawa
6
3
0
27 Jan 2022
Parameter Prediction for Unseen Deep Architectures
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev
M. Drozdzal
Graham W. Taylor
Adriana Romero Soriano
OOD
14
78
0
25 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
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph
  Generation
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation
Marco Podda
D. Bacciu
BDL
9
9
0
18 Jul 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph
  Generation
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen
Xu Han
Jiajing Hu
Francisco J. R. Ruiz
Liping Liu
BDL
11
34
0
11 Jun 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
16
117
0
23 Mar 2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie
Chence Shi
Hao Zhou
Yuwei Yang
Weinan Zhang
Yong Yu
Lei Li
8
136
0
18 Mar 2021
Deep Graph Generators: A Survey
Deep Graph Generators: A Survey
Faezeh Faez
Yassaman Ommi
M. Baghshah
Hamid R. Rabiee
GNN
AI4CE
34
56
0
31 Dec 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning
  Techniques: A Review
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Navid Ghassemi
Delaram Sadeghi
...
Z. Sani
F. Khozeimeh
S. Nahavandi
U. Acharya
Juan M Gorriz
33
176
0
16 Jul 2020
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution
Xiaojie Guo
Liang Zhao
Cameron Nowzari
S. Rafatirad
Houman Homayoun
Sai Manoj Pudukotai Dinakarrao
37
27
0
22 Mar 2020
Learning to Generate Time Series Conditioned Graphs with Generative
  Adversarial Nets
Learning to Generate Time Series Conditioned Graphs with Generative Adversarial Nets
Shanchao Yang
Jing Liu
K. Wu
Mingming Li
GAN
AI4CE
35
3
0
03 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
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
184
878
0
07 Jun 2018
Deep Graph Translation
Deep Graph Translation
Xiaojie Guo
Lingfei Wu
Liang Zhao
GNN
9
32
0
25 May 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
219
1,329
0
12 Feb 2018
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
243
893
0
11 Nov 2017
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
198
1,325
0
05 Jun 2016
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