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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
Representation Learning over Dynamic Graphs
Representation Learning over Dynamic Graphs
Rakshit S. Trivedi
Mehrdad Farajtabar
P. Biswal
H. Zha
AI4TSAI4CE
92
53
0
11 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning
Attention-based Graph Neural Network for Semi-supervised Learning
K. K. Thekumparampil
Chong-Jun Wang
Sewoong Oh
Li Li
GNN
123
335
0
10 Mar 2018
Community Interaction and Conflict on the Web
Community Interaction and Conflict on the Web
Srijan Kumar
William L. Hamilton
J. Leskovec
Dan Jurafsky
80
345
0
09 Mar 2018
GPSP: Graph Partition and Space Projection based Approach for
  Heterogeneous Network Embedding
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding
Wenyu Du
Shuai Yu
Min Yang
Qiang Qu
Jia Zhu
80
5
0
07 Mar 2018
Billion-scale Commodity Embedding for E-commerce Recommendation in
  Alibaba
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
Jizhe Wang
Pipei Huang
Huan Zhao
Zhibo Zhang
Binqiang Zhao
Lee
82
501
0
06 Mar 2018
AspEm: Embedding Learning by Aspects in Heterogeneous Information
  Networks
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
Yu Shi
Huan Gui
Qi Zhu
Lance M. Kaplan
Jiawei Han
72
83
0
05 Mar 2018
NetGAN: Generating Graphs via Random Walks
NetGAN: Generating Graphs via Random Walks
Aleksandar Bojchevski
Oleksandr Shchur
Daniel Zügner
Stephan Günnemann
GANGNN
195
362
0
02 Mar 2018
Evaluating Overfit and Underfit in Models of Network Community Structure
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian
Homa Hosseinmardi
A. Clauset
123
142
0
28 Feb 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
159
1,957
0
27 Feb 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding
MILE: A Multi-Level Framework for Scalable Graph Embedding
Jiongqian Liang
Saket Gurukar
Srinivas Parthasarathy
GNN
96
78
0
26 Feb 2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node
  Classification
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
Sami Abu-El-Haija
Amol Kapoor
Bryan Perozzi
Joonseok Lee
GNNSSL
102
262
0
24 Feb 2018
Learning to Make Predictions on Graphs with Autoencoders
Learning to Make Predictions on Graphs with Autoencoders
Phi Vu Tran
GNNSSLAI4CE
76
57
0
23 Feb 2018
Learning Topic Models by Neighborhood Aggregation
Learning Topic Models by Neighborhood Aggregation
Ryohei Hisano
51
3
0
22 Feb 2018
Node Centralities and Classification Performance for Characterizing Node
  Embedding Algorithms
Node Centralities and Classification Performance for Characterizing Node Embedding Algorithms
Kento Nozawa
Masanari Kimura
Atsunori Kanemura
GNN
24
2
0
18 Feb 2018
Can Network Embedding of Distributional Thesaurus be Combined with Word
  Vectors for Better Representation?
Can Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation?
Abhik Jana
Pawan Goyal
NAI
47
9
0
17 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Semi-Supervised Learning on Graphs Based on Local Label Distributions
Evgheniy Faerman
Felix Borutta
Julian Busch
Matthias Schubert
68
7
0
15 Feb 2018
NeVAE: A Deep Generative Model for Molecular Graphs
NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta
A. De
G. Jana
P. Chattaraj
Niloy Ganguly
Manuel Gomez Rodriguez
GNNDRLBDLDiffM
122
219
0
14 Feb 2018
Graph2Seq: Scalable Learning Dynamics for Graphs
Graph2Seq: Scalable Learning Dynamics for Graphs
S. Venkatakrishnan
Mohammad Alizadeh
Pramod Viswanath
GNN
80
12
0
14 Feb 2018
A probabilistic framework for multi-view feature learning with
  many-to-many associations via neural networks
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks
Akifumi Okuno
Tetsuya Hada
Hidetoshi Shimodaira
77
15
0
13 Feb 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
GNNGAN
79
450
0
13 Feb 2018
The Importance of Norm Regularization in Linear Graph Embedding:
  Theoretical Analysis and Empirical Demonstration
The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration
Yihan Gao
Chao Zhang
Jian-wei Peng
Aditya G. Parameswaran
38
4
0
10 Feb 2018
Classification of Things in DBpedia using Deep Neural Networks
Classification of Things in DBpedia using Deep Neural Networks
Rahul Parundekar
51
2
0
07 Feb 2018
Learning Role-based Graph Embeddings
Learning Role-based Graph Embeddings
Nesreen Ahmed
Ryan Rossi
J. B. Lee
Theodore L. Willke
R. Zhou
Xiangnan Kong
Hoda Eldardiry
111
96
0
07 Feb 2018
Critical Percolation as a Framework to Analyze the Training of Deep
  Networks
Critical Percolation as a Framework to Analyze the Training of Deep Networks
Zohar Ringel
Rodrigo Andrade de Bem
48
2
0
06 Feb 2018
DeepTravel: a Neural Network Based Travel Time Estimation Model with
  Auxiliary Supervision
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision
Hanyuan Zhang
Hao-qing Wu
Weiwei Sun
Baihua Zheng
AI4TS
82
143
0
06 Feb 2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu
Chaochao Chen
Longfei Li
Jun Zhou
Xiaolong Li
Le Song
Yuan Qi
GNN
149
314
0
03 Feb 2018
Modeling polypharmacy side effects with graph convolutional networks
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik
Monica Agrawal
J. Leskovec
GNN
140
1,101
0
02 Feb 2018
Complex Network Classification with Convolutional Neural Network
Complex Network Classification with Convolutional Neural Network
Ruyue Xin
Jiang Zhang
Yi Shao
GNN
89
111
0
02 Feb 2018
Onto2Vec: joint vector-based representation of biological entities and
  their ontology-based annotations
Onto2Vec: joint vector-based representation of biological entities and their ontology-based annotations
F. Z. Smaili
Xin Gao
Robert Hoehndorf
69
115
0
31 Jan 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
213
1,523
0
30 Jan 2018
Using deep Q-learning to understand the tax evasion behavior of
  risk-averse firms
Using deep Q-learning to understand the tax evasion behavior of risk-averse firms
Nikolaos Goumagias
D. Hristu-Varsakelis
Yannis Assael
47
27
0
29 Jan 2018
HONE: Higher-Order Network Embeddings
HONE: Higher-Order Network Embeddings
Ryan A. Rossi
Nesreen Ahmed
Eunyee Koh
Sungchul Kim
Anup B. Rao
Yasin Abbasi-Yadkori
98
22
0
28 Jan 2018
Learning Networks from Random Walk-Based Node Similarities
Learning Networks from Random Walk-Based Node Similarities
J. Hoskins
Cameron Musco
Christopher Musco
Charalampos E. Tsourakakis
MLAUAAML
48
6
0
23 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised
  Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNNSSL
390
2,860
0
22 Jan 2018
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding
Yu Shi
Fangqiu Han
Xinwei He
Xinran He
Carl Yang
Jie Luo
Jiawei Han
3DV
90
56
0
19 Jan 2018
Learning Feature Representations for Keyphrase Extraction
Learning Feature Representations for Keyphrase Extraction
C. Florescu
Wei Jin
SSL
36
14
0
05 Jan 2018
Learning and Transferring IDs Representation in E-commerce
Learning and Transferring IDs Representation in E-commerce
Kui Zhao
Yuechuan Li
Zhaoqian Shuai
Cheng Yang
41
2
0
22 Dec 2017
Cognitive Database: A Step towards Endowing Relational Databases with
  Artificial Intelligence Capabilities
Cognitive Database: A Step towards Endowing Relational Databases with Artificial Intelligence Capabilities
R. Bordawekar
Bortik Bandyopadhyay
O. Shmueli
55
27
0
19 Dec 2017
RelNN: A Deep Neural Model for Relational Learning
RelNN: A Deep Neural Model for Relational Learning
Seyed Mehran Kazemi
David Poole
NAIGNN
60
55
0
07 Dec 2017
Network Representation Learning: A Survey
Network Representation Learning: A Survey
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
GNNAI4TS
133
626
0
04 Dec 2017
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment
  Link Prediction
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
Hongwei Wang
Fuzheng Zhang
Min Hou
Xing Xie
Minyi Guo
Qi Liu
92
330
0
03 Dec 2017
Representation Learning for Scale-free Networks
Representation Learning for Scale-free Networks
Rui Feng
Yang Yang
Wenjie Hu
Leilei Gan
Yueting Zhuang
GNN
62
51
0
29 Nov 2017
Topological Recurrent Neural Network for Diffusion Prediction
Topological Recurrent Neural Network for Diffusion Prediction
Jia Wang
V. Zheng
Zemin Liu
Kevin Chen-Chuan Chang
DiffMGNN
99
174
0
28 Nov 2017
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
Hongwei Wang
Jia Wang
Jialin Wang
Miao Zhao
Weinan Zhang
Fuzheng Zhang
Xing Xie
Minyi Guo
GNNGAN
121
627
0
22 Nov 2017
Adversarial Network Embedding
Adversarial Network Embedding
Quanyu Dai
Qiang Li
Jian Tang
Dan Wang
GNNGAN
94
223
0
21 Nov 2017
Motif-based Convolutional Neural Network on Graphs
Motif-based Convolutional Neural Network on Graphs
Aravind Sankar
Xinyang Zhang
Kevin Chen-Chuan Chang
GNN
124
42
0
15 Nov 2017
Towards Plausible Graph Anonymization
Towards Plausible Graph Anonymization
Yang Zhang
Mathias Humbert
Bartlomiej Surma
Praveen Manoharan
Jilles Vreeken
Michael Backes
126
20
0
15 Nov 2017
A Deep Learning Approach for Expert Identification in Question Answering
  Communities
A Deep Learning Approach for Expert Identification in Question Answering Communities
Chen Zheng
Shuangfei Zhai
Zhongfei Zhang
29
16
0
14 Nov 2017
STWalk: Learning Trajectory Representations in Temporal Graphs
STWalk: Learning Trajectory Representations in Temporal Graphs
Supriya Pandhre
Himangi Mittal
Manish Gupta
V. Balasubramanian
44
21
0
11 Nov 2017
Enhancing Network Embedding with Auxiliary Information: An Explicit
  Matrix Factorization Perspective
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective
Junliang Guo
Linli Xu
Xunpeng Huang
Enhong Chen
18
1
0
11 Nov 2017
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