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A Survey on Role-Oriented Network Embedding

A Survey on Role-Oriented Network Embedding

18 July 2021
Pengfei Jiao
Xuan Guo
T. Pan
Wang Zhang
Yulong Pei
    GNN
ArXiv (abs)PDFHTML

Papers citing "A Survey on Role-Oriented Network Embedding"

30 / 30 papers shown
Title
Identity-aware Graph Neural Networks
Identity-aware Graph Neural Networks
Jiaxuan You
Jonathan M. Gomes-Selman
Rex Ying
J. Leskovec
53
255
0
25 Jan 2021
A Survey of Community Detection Approaches: From Statistical Modeling to
  Deep Learning
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Di Jin
Zhizhi Yu
Pengfei Jiao
Shirui Pan
Dongxiao He
Hongzhi Zhang
Philip S. Yu
Weixiong Zhang
GNN
162
286
0
03 Jan 2021
Embedding Node Structural Role Identity into Hyperbolic Space
Embedding Node Structural Role Identity into Hyperbolic Space
Lili Wang
Ying Lu
Chenghan Huang
Soroush Vosoughi
34
15
0
03 Nov 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
229
960
0
17 Jun 2020
Deep Learning for Community Detection: Progress, Challenges and
  Opportunities
Deep Learning for Community Detection: Progress, Challenges and Opportunities
Fanzhen Liu
Shan Xue
Hongzhi Zhang
Chuan Zhou
Wenbin Hu
Cécile Paris
Surya Nepal
Jian Yang
Philip S. Yu
GNN
74
246
0
17 May 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
324
1,123
0
13 Feb 2020
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and
  Influence in Diffusion Prediction
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Aravind Sankar
Xinyang Zhang
A. Krishnan
Jiawei Han
GNN
74
82
0
01 Jan 2020
GraLSP: Graph Neural Networks with Local Structural Patterns
GraLSP: Graph Neural Networks with Local Structural Patterns
Yilun Jin
Guojie Song
C. Shi
71
52
0
18 Nov 2019
RiWalk: Fast Structural Node Embedding via Role Identification
RiWalk: Fast Structural Node Embedding via Role Identification
Xuewei Ma
Geng Qin
Zhiyang Qiu
Mingxin Zheng
Zhe Wang
53
38
0
15 Oct 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
J. Qiu
Yuxiao Dong
Hao Ma
Jun Yu Li
Chi Wang
Kuansan Wang
Jie Tang
54
173
0
26 Jun 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
93
497
0
11 Jun 2019
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
FaMLGNNAI4TSAI4CE
783
8,566
0
03 Jan 2019
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
154
1,336
0
11 Dec 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
251
7,695
0
01 Oct 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
351
10,356
0
10 Jul 2018
Anonymous Walk Embeddings
Anonymous Walk Embeddings
Sergey Ivanov
Evgeny Burnaev
GNN
59
180
0
30 May 2018
Network Representation Learning: A Survey
Network Representation Learning: A Survey
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
GNNAI4TS
102
622
0
04 Dec 2017
Learning Structural Node Embeddings Via Diffusion Wavelets
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat
Marinka Zitnik
David Hallac
J. Leskovec
GNNDiffM
72
393
0
27 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
105
1,794
0
22 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
177
1,980
0
17 Sep 2017
Graph Embedding Techniques, Applications, and Performance: A Survey
Graph Embedding Techniques, Applications, and Performance: A Survey
Palash Goyal
Emilio Ferrara
GNNAI4TS
137
1,730
0
08 May 2017
struc2vec: Learning Node Representations from Structural Identity
struc2vec: Learning Node Representations from Structural Identity
Leonardo F. R. Ribeiro
Pedro H. P. Saverese
Daniel R. Figueiredo
72
1,164
0
11 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
654
29,154
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,903
0
03 Jul 2016
Clustering Network Layers With the Strata Multilayer Stochastic Block
  Model
Clustering Network Layers With the Strata Multilayer Stochastic Block Model
Natalie Stanley
S. Shai
D. Taylor
P. Mucha
49
135
0
07 Jul 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
260
9,800
0
26 Mar 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
402
33,560
0
16 Oct 2013
Role-Dynamics: Fast Mining of Large Dynamic Networks
Role-Dynamics: Fast Mining of Large Dynamic Networks
Ryan Rossi
Brian Gallagher
Jennifer Neville
Keith W. Henderson
72
48
0
09 Mar 2012
Mixed membership stochastic blockmodels
Mixed membership stochastic blockmodels
E. Airoldi
David M. Blei
S. Fienberg
Eric Xing
511
2,122
0
30 May 2007
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