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Disentangled Dynamic Graph Deep Generation

Disentangled Dynamic Graph Deep Generation

14 October 2020
Wenbin Zhang
Liming Zhang
Dieter Pfoser
Liang Zhao
ArXivPDFHTML

Papers citing "Disentangled Dynamic Graph Deep Generation"

19 / 19 papers shown
Title
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
290
8,441
0
03 Jan 2019
Deep Graph Translation
Deep Graph Translation
Xiaojie Guo
Lingfei Wu
Liang Zhao
GNN
33
32
0
25 May 2018
Scalable Factorized Hierarchical Variational Autoencoder Training
Scalable Factorized Hierarchical Variational Autoencoder Training
Wei-Ning Hsu
James R. Glass
BDL
24
23
0
09 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
52
173
0
03 Apr 2018
Disentangled Sequential Autoencoder
Disentangled Sequential Autoencoder
Yingzhen Li
Stephan Mandt
CoGe
63
270
0
08 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GAN
GNN
105
361
0
02 Mar 2018
Syntax-Directed Variational Autoencoder for Structured Data
Syntax-Directed Variational Autoencoder for Structured Data
H. Dai
Yingtao Tian
Bo Dai
Steven Skiena
Le Song
74
324
0
24 Feb 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Jiaxuan You
Rex Ying
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
BDL
87
840
0
24 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational
  Autoencoders
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
M. Simonovsky
N. Komodakis
GNN
BDL
81
842
0
09 Feb 2018
Neural Text Generation: A Practical Guide
Neural Text Generation: A Practical Guide
Ziang Xie
25
46
0
27 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
301
19,902
0
30 Oct 2017
Unsupervised Learning of Disentangled and Interpretable Representations
  from Sequential Data
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu
Yu Zhang
James R. Glass
BDL
SSL
55
351
0
22 Sep 2017
Wasserstein Learning of Deep Generative Point Process Models
Wasserstein Learning of Deep Generative Point Process Models
Shuai Xiao
Mehrdad Farajtabar
X. Ye
Junchi Yan
Le Song
H. Zha
DiffM
35
169
0
23 May 2017
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
75
1,697
0
01 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
429
28,795
0
09 Sep 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
226
13,968
0
19 Nov 2015
Dynamic stochastic blockmodels for time-evolving social networks
Dynamic stochastic blockmodels for time-evolving social networks
Kevin S. Xu
Alfred Hero
132
234
0
04 Mar 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
354
16,972
0
20 Dec 2013
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
158
2,348
0
15 May 2008
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