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DeepWalk: Online Learning of Social Representations
v1v2 (latest)

DeepWalk: Online Learning of Social Representations

26 March 2014
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
    HAI
ArXiv (abs)PDFHTML

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,466 papers shown
Title
Using Embeddings to Correct for Unobserved Confounding in Networks
Using Embeddings to Correct for Unobserved Confounding in Networks
Victor Veitch
Yixin Wang
David M. Blei
CML
98
58
0
11 Feb 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and
  Classification
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification
Blaž Škrlj
Jan Kralj
Janez Konc
Marko Robnik-Šikonja
Nada Lavrac
GNNBDL
89
3
0
11 Feb 2019
Covariance and Correlation Kernels on a Graph in the Generalized
  Bag-of-Paths Formalism
Covariance and Correlation Kernels on a Graph in the Generalized Bag-of-Paths Formalism
Guillaume Guex
Sylvain Courtain
M. Saerens
32
3
0
08 Feb 2019
Heterogeneous Edge Embeddings for Friend Recommendation
Heterogeneous Edge Embeddings for Friend Recommendation
Janu Verma
Srishti Gupta
Debdoot Mukherjee
Tanmoy Chakraborty
42
6
0
07 Feb 2019
Word Embeddings for Entity-annotated Texts
Word Embeddings for Entity-annotated Texts
Satya Almasian
Andreas Spitz
Michael Gertz
98
7
0
06 Feb 2019
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with
  Applications to Global Poverty
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
Muhammad Raza Khan
J. Blumenstock
59
79
0
31 Jan 2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Sheng Zhou
Jiajun Bu
Xin Eric Wang
Jiawei Chen
Can Wang
80
24
0
31 Jan 2019
Representation Learning for Heterogeneous Information Networks via
  Embedding Events
Representation Learning for Heterogeneous Information Networks via Embedding Events
Guoji Fu
Bo Yuan
Qiqi Duan
Xin Yao
33
20
0
29 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering
Label Efficient Semi-Supervised Learning via Graph Filtering
Qimai Li
Xiao-Ming Wu
Han Liu
Xiaotong Zhang
Zhichao Guan
106
168
0
28 Jan 2019
Diffusion Variational Autoencoders
Diffusion Variational Autoencoders
Luis A. Pérez Rey
Vlado Menkovski
Jacobus W. Portegies
DiffMBDLDRL
79
62
0
25 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDLGNN
79
1
0
24 Jan 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised
  Learning
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Shikhar Vashishth
Prateek Yadav
Manik Bhandari
Partha P. Talukdar
GNN
78
40
0
24 Jan 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip Torr
GNN
139
640
0
23 Jan 2019
CommunityGAN: Community Detection with Generative Adversarial Nets
CommunityGAN: Community Detection with Generative Adversarial Nets
Yuting Jia
Qinqin Zhang
Weinan Zhang
Xinbing Wang
GNNGAN
86
117
0
20 Jan 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu
Dixin Luo
H. Zha
Lawrence Carin
124
261
0
17 Jan 2019
Learning Vertex Representations for Bipartite Networks
Learning Vertex Representations for Bipartite Networks
Ming Gao
Xiangnan He
Leihui Chen
Tingting Liu
Jinglin Zhang
Aoying Zhou
61
23
0
16 Jan 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
Xi Liu
Muhe Xie
Xidao Wen
Rui Chen
Yong Ge
N. Duffield
Na Wang
55
20
0
14 Jan 2019
Search Efficient Binary Network Embedding
Search Efficient Binary Network Embedding
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
57
4
0
14 Jan 2019
Attributed Network Embedding via Subspace Discovery
Attributed Network Embedding via Subspace Discovery
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
138
48
0
14 Jan 2019
Predicting Diffusion Reach Probabilities via Representation Learning on
  Social Networks
Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks
Furkan Gursoy
Ahmet Onur Durahim
DiffMGNN
18
1
0
12 Jan 2019
Deep Network Embedding for Graph Representation Learning in Signed
  Networks
Deep Network Embedding for Graph Representation Learning in Signed Networks
X. Shen
F. Chung
GNN
76
90
0
07 Jan 2019
Vector representations of text data in deep learning
Vector representations of text data in deep learning
Karol Grzegorczyk
63
12
0
07 Jan 2019
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Hooman Peiro Sajjad
Andrew Docherty
Y. Tyshetskiy
61
27
0
05 Jan 2019
Graph Neural Networks with convolutional ARMA filters
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
199
402
0
05 Jan 2019
Learning Graph Embedding with Adversarial Training Methods
Learning Graph Embedding with Adversarial Training Methods
Shirui Pan
Ruiqi Hu
S. Fung
Guodong Long
Jing Jiang
Chengqi Zhang
GNNGAN
107
290
0
04 Jan 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
1.0K
8,663
0
03 Jan 2019
Cross-language Citation Recommendation via Hierarchical Representation
  Learning on Heterogeneous Graph
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph
Zhuoren Jiang
Yue Yin
Liangcai Gao
Yao Lu
Xiaozhong Liu
53
50
0
31 Dec 2018
A Variational Topological Neural Model for Cascade-based Diffusion in
  Networks
A Variational Topological Neural Model for Cascade-based Diffusion in Networks
Sylvain Lamprier
DiffM
30
1
0
28 Dec 2018
Adversarial Attack and Defense on Graph Data: A Survey
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun
Yingtong Dou
Carl Yang
Ji Wang
Yixin Liu
Philip S. Yu
Lifang He
Yangqiu Song
GNNAAML
177
287
0
26 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar
Yanhong Wu
Liang Gou
Wei Zhang
Hao Yang
GNN
103
119
0
22 Dec 2018
COSINE: Compressive Network Embedding on Large-scale Information
  Networks
COSINE: Compressive Network Embedding on Large-scale Information Networks
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Maosong Sun
Zhichong Fang
Bo Zhang
Leyu Lin
GNN
57
7
0
21 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.2K
5,613
0
20 Dec 2018
Representation Learning for Spatial Graphs
Representation Learning for Spatial Graphs
Zheng Wang
Ce Ju
Gao Cong
Cheng Long
GNN
52
3
0
17 Dec 2018
Learning Features of Network Structures Using Graphlets
Learning Features of Network Structures Using Graphlets
Kun Tu
Jian Li
Don Towsley
Dave Braines
Liam D. Turner
GNN
57
2
0
13 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
269
1,346
0
11 Dec 2018
Improved Knowledge Graph Embedding using Background Taxonomic
  Information
Improved Knowledge Graph Embedding using Background Taxonomic Information
Bahare Fatemi
Siamak Ravanbakhsh
David Poole
94
40
0
07 Dec 2018
dynnode2vec: Scalable Dynamic Network Embedding
dynnode2vec: Scalable Dynamic Network Embedding
Sedigheh Mahdavi
Shima Khoshraftar
Aijun An
82
114
0
06 Dec 2018
Learning Dynamic Embeddings from Temporal Interactions
Learning Dynamic Embeddings from Temporal Interactions
Srijan Kumar
Xikun Zhang
J. Leskovec
AI4TS
72
27
0
06 Dec 2018
Learning Cheap and Novel Flight Itineraries
Learning Cheap and Novel Flight Itineraries
Dmytro Karamshuk
David Matthews
19
1
0
04 Dec 2018
Graph-based Security and Privacy Analytics via Collective Classification
  with Joint Weight Learning and Propagation
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation
Willem Blokland
Jinyuan Jia
Kishansingh Rajput
86
53
0
04 Dec 2018
Online Graph-Adaptive Learning with Scalability and Privacy
Online Graph-Adaptive Learning with Scalability and Privacy
Yanning Shen
G. Leus
G. Giannakis
63
32
0
03 Dec 2018
Graph Node-Feature Convolution for Representation Learning
Graph Node-Feature Convolution for Representation Learning
Li Zhang
Heda Song
Nikolaos Aletras
Haiping Lu
GNNSSL
59
13
0
30 Nov 2018
The Graph-Based Behavior-Aware Recommendation for Interactive News
The Graph-Based Behavior-Aware Recommendation for Interactive News
Mingyuan Ma
Sen Na
Hongyu Wang
Congzhou Chen
Jin Xu
137
19
0
30 Nov 2018
Attributed Network Embedding for Incomplete Attributed Networks
Attributed Network Embedding for Incomplete Attributed Networks
Chengbin Hou
Shan He
Ke Tang
33
1
0
28 Nov 2018
Node Embedding with Adaptive Similarities for Scalable Learning over
  Graphs
Node Embedding with Adaptive Similarities for Scalable Learning over Graphs
Dimitris Berberidis
G. Giannakis
79
18
0
27 Nov 2018
Flexible Attributed Network Embedding
Flexible Attributed Network Embedding
Enya Shen
Zhidong Cao
C. Zou
Jianmin Wang
GNN
21
5
0
27 Nov 2018
Graph Learning-Convolutional Networks
Graph Learning-Convolutional Networks
Bo Jiang
Ziyan Zhang
Doudou Lin
Jin Tang
GNNSSL
41
5
0
25 Nov 2018
Adversarial Classifier for Imbalanced Problems
Adversarial Classifier for Imbalanced Problems
Ehsan Montahaei
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
81
12
0
21 Nov 2018
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph
  Convolutional Networks
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
59
40
0
21 Nov 2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph
  Representation Learning
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Stephen Bonner
John Brennan
Ibad Kureshi
Georgios Theodoropoulos
A. Mcgough
B. Obara
OOD
78
15
0
20 Nov 2018
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