Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2010.07276
Cited By
Disentangled Dynamic Graph Deep Generation
14 October 2020
Wenbin Zhang
Liming Zhang
Dieter Pfoser
Liang Zhao
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Disentangled Dynamic Graph Deep Generation"
19 / 19 papers shown
Title
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
Xiaojie Guo
Lingfei Wu
Liang Zhao
GNN
33
32
0
25 May 2018
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
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
52
173
0
03 Apr 2018
Disentangled Sequential Autoencoder
Yingzhen Li
Stephan Mandt
CoGe
63
270
0
08 Mar 2018
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
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
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
M. Simonovsky
N. Komodakis
GNN
BDL
81
842
0
09 Feb 2018
Neural Text Generation: A Practical Guide
Ziang Xie
25
46
0
27 Nov 2017
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
Wei-Ning Hsu
Yu Zhang
James R. Glass
BDL
SSL
55
351
0
22 Sep 2017
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
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
Thomas Kipf
Max Welling
GNN
SSL
429
28,795
0
09 Sep 2016
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
Kevin S. Xu
Alfred Hero
132
234
0
04 Mar 2014
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
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
158
2,348
0
15 May 2008
1