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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
NEXT: A Neural Network Framework for Next POI Recommendation
NEXT: A Neural Network Framework for Next POI Recommendation
Zhiqian Zhang
Chenliang Li
Zhiyong Wu
Aixin Sun
Dengpan Ye
Xiangyang Luo
44
77
0
15 Apr 2017
Deep Extreme Multi-label Learning
Deep Extreme Multi-label Learning
Wenjie Zhang
Junchi Yan
Xiangfeng Wang
H. Zha
70
123
0
12 Apr 2017
ENWalk: Learning Network Features for Spam Detection in Twitter
ENWalk: Learning Network Features for Spam Detection in Twitter
K. Santosh
S. Maity
Arjun Mukherjee
26
4
0
11 Apr 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
138
1,168
0
11 Apr 2017
The Relative Performance of Ensemble Methods with Deep Convolutional
  Neural Networks for Image Classification
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
Cheng Ju
Aurélien F. Bibaut
Mark van der Laan
UQCV
115
361
0
05 Apr 2017
Semi-supervised Embedding in Attributed Networks with Outliers
Semi-supervised Embedding in Attributed Networks with Outliers
Jiongqian Liang
Peter Jacobs
Jiankai Sun
Srinivasan Parthasarathy
BDL
79
111
0
23 Mar 2017
Supervised Typing of Big Graphs using Semantic Embeddings
Supervised Typing of Big Graphs using Semantic Embeddings
Mayank Kejriwal
Pedro A. Szekely
41
15
0
22 Mar 2017
Semi-Supervised Learning with Competitive Infection Models
Semi-Supervised Learning with Competitive Infection Models
Nir Rosenfeld
Amir Globerson
SSL
169
6
0
19 Mar 2017
Neural Graph Machines: Learning Neural Networks Using Graphs
Neural Graph Machines: Learning Neural Networks Using Graphs
T. Bui
Sujith Ravi
Vivek Ramavajjala
GNN
62
29
0
14 Mar 2017
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity
Eliav Buchnik
E. Cohen
61
22
0
07 Mar 2017
Customer Lifetime Value Prediction Using Embeddings
Customer Lifetime Value Prediction Using Embeddings
B. Chamberlain
Ângelo Cardoso
C. H. B. Liu
Roberto Pagliari
M. Deisenroth
81
84
0
07 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks
Robust Spatial Filtering with Graph Convolutional Neural Networks
F. Such
Shagan Sah
Miguel Domínguez
Suhas Pillai
Chao Zhang
A. Michael
N. Cahill
R. Ptucha
GNN
125
140
0
02 Mar 2017
Model-Independent Online Learning for Influence Maximization
Model-Independent Online Learning for Influence Maximization
Sharan Vaswani
Branislav Kveton
Zheng Wen
Mohammad Ghavamzadeh
L. Lakshmanan
Mark Schmidt
61
15
0
01 Mar 2017
Graph-based Isometry Invariant Representation Learning
Graph-based Isometry Invariant Representation Learning
Renata Khasanova
P. Frossard
127
55
0
01 Mar 2017
Distributed Representation of Subgraphs
Distributed Representation of Subgraphs
B. Adhikari
Yao Zhang
Naren Ramakrishnan
B. Prakash
GNN
35
9
0
22 Feb 2017
Vector Embedding of Wikipedia Concepts and Entities
Vector Embedding of Wikipedia Concepts and Entities
Ehsan Sherkat
E. Milios
SSeg3DV
48
22
0
12 Feb 2017
Name Disambiguation in Anonymized Graphs using Network Embedding
Name Disambiguation in Anonymized Graphs using Network Embedding
Baichuan Zhang
M. Hasan
103
108
0
08 Feb 2017
Collective Vertex Classification Using Recursive Neural Network
Collective Vertex Classification Using Recursive Neural Network
Xingliang Yuan
Qing Wang
Chenchen Xu
Zhuang Li
GNN
35
9
0
24 Jan 2017
Heterogeneous Information Network Embedding for Meta Path based
  Proximity
Heterogeneous Information Network Embedding for Meta Path based Proximity
Zhipeng Huang
N. Mamoulis
GNN
78
110
0
19 Jan 2017
Marked Temporal Dynamics Modeling based on Recurrent Neural Network
Marked Temporal Dynamics Modeling based on Recurrent Neural Network
Yongqing Wang
Shenghua Liu
Huawei Shen
Xueqi Cheng
18
14
0
14 Jan 2017
On Spectral Analysis of Directed Signed Graphs
On Spectral Analysis of Directed Signed Graphs
Yuemeng Li
Xintao Wu
Aidong Lu
97
10
0
23 Dec 2016
Graph Summarization Methods and Applications: A Survey
Graph Summarization Methods and Applications: A Survey
Yike Liu
Tara Safavi
A. Dighe
Danai Koutra
86
140
0
14 Dec 2016
Neuro-symbolic representation learning on biological knowledge graphs
Neuro-symbolic representation learning on biological knowledge graphs
Mona Alshahrani
Mohammed Asif Khan
Omar Maddouri
A. Kinjo
N. Queralt-Rosinach
Robert Hoehndorf
NAI
65
142
0
13 Dec 2016
Task-Guided and Path-Augmented Heterogeneous Network Embedding for
  Author Identification
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
Ting-Li Chen
Yizhou Sun
67
226
0
08 Dec 2016
Image Based Appraisal of Real Estate Properties
Image Based Appraisal of Real Estate Properties
Quanzeng You
Ran Pang
Liangliang Cao
Jiebo Luo
53
68
0
28 Nov 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
573
1,826
0
25 Nov 2016
Question Retrieval for Community-based Question Answering via
  Heterogeneous Network Integration Learning
Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning
Zheqian Chen
Fangqiu Yi
Zhou Zhao
Deng Cai
32
3
0
24 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
878
3,317
0
24 Nov 2016
GRAM: Graph-based Attention Model for Healthcare Representation Learning
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi
M. T. Bahadori
Le Song
Walter F. Stewart
Jimeng Sun
GNN
129
678
0
21 Nov 2016
Correlation Clustering with Low-Rank Matrices
Correlation Clustering with Low-Rank Matrices
Nate Veldt
Anthony Wirth
D. Gleich
69
13
0
21 Nov 2016
Learning From Graph Neighborhoods Using LSTMs
Learning From Graph Neighborhoods Using LSTMs
Rakshit Agrawal
Luca de Alfaro
Vassilis Polychronopoulos
GNN
86
7
0
21 Nov 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
229
3,614
0
21 Nov 2016
DeepCas: an End-to-end Predictor of Information Cascades
DeepCas: an End-to-end Predictor of Information Cascades
Cheng Li
Jiaqi Ma
Xiaoxiao Guo
Qiaozhu Mei
GNN
73
332
0
16 Nov 2016
Node Embedding via Word Embedding for Network Community Discovery
Node Embedding via Word Embedding for Network Community Discovery
Weicong Ding
Christy Lin
Prakash Ishwar
91
17
0
09 Nov 2016
From Node Embedding To Community Embedding
From Node Embedding To Community Embedding
V. Zheng
Sandro Cavallari
Hongyun Cai
Kevin Chen-Chuan Chang
Min Zhang
GNN
84
34
0
31 Oct 2016
Meta-Path Guided Embedding for Similarity Search in Large-Scale
  Heterogeneous Information Networks
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks
Jingbo Shang
Meng Qu
Jialu Liu
Lance M. Kaplan
Jiawei Han
Jian Peng
82
16
0
31 Oct 2016
CoType: Joint Extraction of Typed Entities and Relations with Knowledge
  Bases
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
Xiang Ren
Zeqiu Wu
Wenqi He
Meng Qu
Clare R. Voss
Heng Ji
Tarek Abdelzaher
Jiawei Han
124
303
0
27 Oct 2016
Dis-S2V: Discourse Informed Sen2Vec
Dis-S2V: Discourse Informed Sen2Vec
T. K. Saha
Shafiq Joty
Naeemul Hassan
M. Hasan
DRL
66
4
0
25 Oct 2016
DeepGraph: Graph Structure Predicts Network Growth
DeepGraph: Graph Structure Predicts Network Growth
Cheng Li
Xiaoxiao Guo
Qiaozhu Mei
GNN
76
17
0
20 Oct 2016
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction
Ryohei Hisano
163
52
0
14 Oct 2016
A General Framework for Content-enhanced Network Representation Learning
A General Framework for Content-enhanced Network Representation Learning
Xiaofei Sun
Jiang Guo
Xiao Ding
Ting Liu
GNN3DV
99
90
0
10 Oct 2016
ICE: Information Credibility Evaluation on Social Media via
  Representation Learning
ICE: Information Credibility Evaluation on Social Media via Representation Learning
Qiang Liu
Shu Wu
Feng Yu
Liang Wang
Tieniu Tan
30
8
0
29 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
888
29,369
0
09 Sep 2016
PRIIME: A Generic Framework for Interactive Personalized Interesting
  Pattern Discovery
PRIIME: A Generic Framework for Interactive Personalized Interesting Pattern Discovery
Mansurul Bhuiyan
M. Hasan
61
4
0
19 Jul 2016
Combining Random Walks and Nonparametric Bayesian Topic Model for
  Community Detection
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection
Ruimin Zhu
Wenxin Jiang
BDL
76
1
0
19 Jul 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
468
12
0
03 Jul 2016
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs
  from Large Graphs
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
A. Narayanan
Mahinthan Chandramohan
Lihui Chen
Yang Liu
S. Saminathan
GNN
90
157
0
29 Jun 2016
Hierarchical Neural Language Models for Joint Representation of
  Streaming Documents and their Content
Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content
Nemanja Djuric
Hao Wu
Vladan Radosavljevic
Mihajlo Grbovic
Narayan L. Bhamidipati
71
7
0
28 Jun 2016
Network-Efficient Distributed Word2vec Training System for Large
  Vocabularies
Network-Efficient Distributed Word2vec Training System for Large Vocabularies
E. Ordentlich
Lee Yang
Andrew Feng
Peter Cnudde
Mihajlo Grbovic
Nemanja Djuric
Vladan Radosavljevic
Gavin Owens
GNNVLM
128
31
0
27 Jun 2016
E-commerce in Your Inbox: Product Recommendations at Scale
E-commerce in Your Inbox: Product Recommendations at Scale
Mihajlo Grbovic
Vladan Radosavljevic
Nemanja Djuric
Narayan L. Bhamidipati
Jaikit Savla
Varun Bhagwan
Doug Sharp
95
309
0
23 Jun 2016
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