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DeepWalk: Online Learning of Social Representations

DeepWalk: Online Learning of Social Representations

26 March 2014
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
    HAI
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Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,441 papers shown
Title
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
41
308
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
26
1,062
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
38
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
24
114
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
62
1,506
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
14
26
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
29
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
MLAU
AAML
17
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
GNN
SSL
87
2,779
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
19
55
0
19 Jan 2018
Learning Feature Representations for Keyphrase Extraction
Learning Feature Representations for Keyphrase Extraction
C. Florescu
Wei Jin
SSL
11
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
8
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
27
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
NAI
GNN
15
55
0
07 Dec 2017
Network Representation Learning: A Survey
Network Representation Learning: A Survey
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
GNN
AI4TS
38
618
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
21
327
0
03 Dec 2017
Representation Learning for Scale-free Networks
Representation Learning for Scale-free Networks
Rui Feng
Yang Yang
Wenjie Hu
Fei Wu
Yueting Zhuang
GNN
20
50
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
DiffM
GNN
43
167
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
GNN
GAN
10
619
0
22 Nov 2017
Adversarial Network Embedding
Adversarial Network Embedding
Quanyu Dai
Qiang Li
Jian Tang
Dan Wang
GNN
GAN
43
221
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
35
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
11
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
19
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
17
20
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
11
1
0
11 Nov 2017
Mandolin: A Knowledge Discovery Framework for the Web of Data
Mandolin: A Knowledge Discovery Framework for the Web of Data
Tommaso Soru
Diego Esteves
Edgard Marx
A. N. Ngomo
21
1
0
03 Nov 2017
Indirect Supervision for Relation Extraction using Question-Answer Pairs
Indirect Supervision for Relation Extraction using Question-Answer Pairs
Zeqiu Wu
Xiang Ren
Frank F. Xu
Ji Li
Jiawei Han
32
8
0
30 Oct 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
146
19,765
0
30 Oct 2017
Fast Linear Model for Knowledge Graph Embeddings
Fast Linear Model for Knowledge Graph Embeddings
Armand Joulin
Edouard Grave
Piotr Bojanowski
Maximilian Nickel
Tomas Mikolov
24
40
0
30 Oct 2017
Stochastic Training of Graph Convolutional Networks with Variance
  Reduction
Stochastic Training of Graph Convolutional Networks with Variance Reduction
Jianfei Chen
Jun Zhu
Le Song
GNN
BDL
17
30
0
29 Oct 2017
Learning Structural Node Embeddings Via Diffusion Wavelets
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat
Marinka Zitnik
David Hallac
J. Leskovec
GNN
DiffM
30
386
0
27 Oct 2017
Watch Your Step: Learning Node Embeddings via Graph Attention
Watch Your Step: Learning Node Embeddings via Graph Attention
Sami Abu-El-Haija
Bryan Perozzi
Rami Al-Rfou
Alexander A. Alemi
GNN
32
32
0
26 Oct 2017
Inductive Representation Learning in Large Attributed Graphs
Inductive Representation Learning in Large Attributed Graphs
Nesreen Ahmed
Ryan A. Rossi
R. Zhou
J. B. Lee
Xiangnan Kong
Theodore L. Willke
Hoda Eldardiry
16
4
0
25 Oct 2017
GeoSeq2Seq: Information Geometric Sequence-to-Sequence Networks
GeoSeq2Seq: Information Geometric Sequence-to-Sequence Networks
Alessandro Bay
B. Sengupta
GNN
8
3
0
25 Oct 2017
Graph Embedding with Rich Information through Heterogeneous Network
Graph Embedding with Rich Information through Heterogeneous Network
Guolei Sun
Xiangliang Zhang
22
3
0
18 Oct 2017
Learning Social Image Embedding with Deep Multimodal Attention Networks
Learning Social Image Embedding with Deep Multimodal Attention Networks
Feiran Huang
Xiaoming Zhang
Zhoujun Li
Tao Mei
Yueying He
Zhonghua Zhao
24
20
0
18 Oct 2017
LASAGNE: Locality And Structure Aware Graph Node Embedding
LASAGNE: Locality And Structure Aware Graph Node Embedding
Evgheniy Faerman
Felix Borutta
K. Fountoulakis
Michael W. Mahoney
GNN
24
18
0
17 Oct 2017
Community Aware Random Walk for Network Embedding
Community Aware Random Walk for Network Embedding
M. Keikha
M. Rahgozar
M. Asadpour
16
74
0
14 Oct 2017
Learning Graph Representations with Embedding Propagation
Learning Graph Representations with Embedding Propagation
Alberto García-Durán
Mathias Niepert
GNN
SSL
29
167
0
09 Oct 2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE,
  and node2vec
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
J. Qiu
Yuxiao Dong
Hao Ma
Jian Li
Kuansan Wang
Jie Tang
21
914
0
09 Oct 2017
RUM: network Representation learning throUgh Multi-level structural
  information preservation
RUM: network Representation learning throUgh Multi-level structural information preservation
Yanlei Yu
Zhiwu Lu
Jiajun Liu
Guoping Zhao
Ji-Rong Wen
Kai Zheng
9
2
0
08 Oct 2017
Supervised Q-walk for Learning Vector Representation of Nodes in
  Networks
Supervised Q-walk for Learning Vector Representation of Nodes in Networks
Naimish Agarwal
G. C. Nandi
OffRL
SSL
19
1
0
03 Oct 2017
Premise Selection for Theorem Proving by Deep Graph Embedding
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang
Yihe Tang
Jian Wang
Jia Deng
32
132
0
28 Sep 2017
X-View: Graph-Based Semantic Multi-View Localization
X-View: Graph-Based Semantic Multi-View Localization
Abel Gawel
Carlo Del Don
Roland Siegwart
Juan I. Nieto
Cesar Cadena
43
155
0
28 Sep 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
53
1,782
0
22 Sep 2017
An Attention-based Collaboration Framework for Multi-View Network
  Representation Learning
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu
Jian Tang
Jingbo Shang
Xiang Ren
Ming Zhang
Jiawei Han
GNN
24
167
0
19 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
58
1,967
0
17 Sep 2017
A Framework for Generalizing Graph-based Representation Learning Methods
A Framework for Generalizing Graph-based Representation Learning Methods
Nesreen Ahmed
Ryan A. Rossi
R. Zhou
J. B. Lee
Xiangnan Kong
Theodore L. Willke
Hoda Eldardiry
14
20
0
14 Sep 2017
Network Vector: Distributed Representations of Networks with Global
  Context
Network Vector: Distributed Representations of Networks with Global Context
Hao Wu
Kristina Lerman
11
3
0
07 Sep 2017
Semantic Preserving Embeddings for Generalized Graphs
Semantic Preserving Embeddings for Generalized Graphs
Pedro Almagro Blanco
Fernando Sancho-Caparrini
11
0
0
07 Sep 2017
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