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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
Multitask Learning on Graph Neural Networks: Learning Multiple Graph
  Centrality Measures with a Unified Network
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
Pedro H. C. Avelar
Henrique Lemos
Marcelo O. R. Prates
Luís C. Lamb
79
18
0
11 Sep 2018
Exploiting Edge Features in Graph Neural Networks
Exploiting Edge Features in Graph Neural Networks
Liyu Gong
Qiang Cheng
GNN
75
21
0
07 Sep 2018
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph
  Representation Learning
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Palash Goyal
Sujit Rokka Chhetri
A. Canedo
141
406
0
07 Sep 2018
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost
  Preservation
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation
Fei Jiang
Lei Zheng
Jin Xu
Philip S. Yu
36
6
0
07 Sep 2018
BiasedWalk: Biased Sampling for Representation Learning on Graphs
BiasedWalk: Biased Sampling for Representation Learning on Graphs
Duong Nguyen
Fragkiskos D. Malliaros
24
17
0
07 Sep 2018
Deep Feature Learning of Multi-Network Topology for Node Classification
Deep Feature Learning of Multi-Network Topology for Node Classification
Hansheng Xue
Jiajie Peng
Xuequn Shang
24
3
0
07 Sep 2018
Feature Learning for Meta-Paths in Knowledge Graphs
Feature Learning for Meta-Paths in Knowledge Graphs
Sebastian Bischoff
53
0
0
07 Sep 2018
Learning Embeddings of Directed Networks with Text-Associated
  Nodes---with Applications in Software Package Dependency Networks
Learning Embeddings of Directed Networks with Text-Associated Nodes---with Applications in Software Package Dependency Networks
Kexuan Sun
Shudan Zhong
Hong Xu
35
3
0
07 Sep 2018
Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text
  Classification
Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification
Fenxiao Chen
Bin Wang
C.-C. Jay Kuo
GNN
45
2
0
04 Sep 2018
Adversarial Attacks on Node Embeddings via Graph Poisoning
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski
Stephan Günnemann
AAML
100
307
0
04 Sep 2018
Semi-supervised Learning on Graphs with Generative Adversarial Nets
Semi-supervised Learning on Graphs with Generative Adversarial Nets
Ming Ding
Jie Tang
Jie Zhang
GNNGAN
116
116
0
01 Sep 2018
Improved Semantic-Aware Network Embedding with Fine-Grained Word
  Alignment
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment
Dinghan Shen
Xinyuan Zhang
Ricardo Henao
Lawrence Carin
AI4TS
80
25
0
29 Aug 2018
Superhighway: Bypass Data Sparsity in Cross-Domain CF
Superhighway: Bypass Data Sparsity in Cross-Domain CF
Kwei-Herng Lai
Ting-Hsiang Wang
Heng-Yu Chi
Yian Chen
Ming-Feng Tsai
Chuan-Ju Wang
20
3
0
28 Aug 2018
EmbeddingVis: A Visual Analytics Approach to Comparative Network
  Embedding Inspection
EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection
Quan Li
Kristanto Sean Njotoprawiro
Hammad Haleem
Qiaoan Chen
Chris Yi
Xiaojuan Ma
57
58
0
28 Aug 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
Jundong Li
Liang Wu
Huan Liu
55
35
0
26 Aug 2018
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case
  of the Greek Referendum
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum
Adam Tsakalidis
Nikolaos Aletras
Alexandra I. Cristea
Maria Liakata
106
34
0
26 Aug 2018
A Trio Neural Model for Dynamic Entity Relatedness Ranking
A Trio Neural Model for Dynamic Entity Relatedness Ranking
T. N. Nguyen
Tuan Tran
Wolfgang Nejdl
36
1
0
24 Aug 2018
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis
Mohammad Taher Pilehvar
Nigel Collier
77
58
0
23 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network
Isometric Transformation Invariant Graph-based Deep Neural Network
Renata Khasanova
P. Frossard
56
3
0
21 Aug 2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of
  Large-Scale Mobile Games
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games
Xi Liu
Muhe Xie
Xidao Wen
Rui Chen
Yong Ge
N. Duffield
Na Wang
57
43
0
20 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Yunsheng Bai
Haoyang Ding
Song Bian
Ting-Li Chen
Yizhou Sun
Wei Wang
GNN
85
327
0
16 Aug 2018
Learning Graph Embeddings from WordNet-based Similarity Measures
Learning Graph Embeddings from WordNet-based Similarity Measures
Andrey Kutuzov
M. Dorgham
Oleksiy Oliynyk
Chris Biemann
Sergey Petrakov
GNN
44
17
0
16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
130
600
0
12 Aug 2018
Message Passing Graph Kernels
Message Passing Graph Kernels
Giannis Nikolentzos
Michalis Vazirgiannis
59
7
0
07 Aug 2018
Global and local evaluation of link prediction tasks with neural
  embeddings
Global and local evaluation of link prediction tasks with neural embeddings
Asan Agibetov
Matthias Samwald
72
10
0
27 Jul 2018
DeepLink: A Novel Link Prediction Framework based on Deep Learning
DeepLink: A Novel Link Prediction Framework based on Deep Learning
M. Keikha
M. Rahgozar
M. Asadpour
21
20
0
27 Jul 2018
AceKG: A Large-scale Knowledge Graph for Academic Data Mining
AceKG: A Large-scale Knowledge Graph for Academic Data Mining
Ruijie Wang
Yuchen Yan
Jialu Wang
Yuting Jia
Ye Zhang
Weinan Zhang
Xinbing Wang
SLR
84
106
0
23 Jul 2018
Attention Models in Graphs: A Survey
Attention Models in Graphs: A Survey
J. B. Lee
Ryan A. Rossi
Sungchul Kim
Nesreen K. Ahmed
Eunyee Koh
GNN
72
164
0
20 Jul 2018
Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine
  Learning
Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning
Michaela Regneri
Malte Hoffmann
Jurij Kost
N. Pietsch
Timothy Schulz
Sabine Stamm
AAML
22
2
0
17 Jul 2018
DeepInf: Social Influence Prediction with Deep Learning
DeepInf: Social Influence Prediction with Deep Learning
J. Qiu
Jian Tang
Hao Ma
Yuxiao Dong
Kuansan Wang
Jie Tang
GNNAI4CE
108
550
0
15 Jul 2018
DeepMove: Learning Place Representations through Large Scale Movement
  Data
DeepMove: Learning Place Representations through Large Scale Movement Data
Yang Zhou
Yan Huang
HAIBDL
83
28
0
11 Jul 2018
Network Classification in Temporal Networks Using Motifs
Network Classification in Temporal Networks Using Motifs
Kun Tu
Jian Li
Don Towsley
Dave Braines
Liam D. Turner
21
16
0
10 Jul 2018
Easing Embedding Learning by Comprehensive Transcription of
  Heterogeneous Information Networks
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks
Yu Shi
Qi Zhu
Fang Guo
Chao Zhang
Jiawei Han
105
118
0
10 Jul 2018
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding
  Spaces
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces
Minhyuk Sung
Anastasia Dubrovina
Vladimir G. Kim
Leonidas Guibas
3DPC
69
9
0
04 Jul 2018
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
Jiankai Sun
Abhinav Vishnu
Aniket Chakrabarti
Charles Siegel
Srinivasan Parthasarathy
33
19
0
02 Jul 2018
Empirical Risk Minimization and Stochastic Gradient Descent for
  Relational Data
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data
Victor Veitch
Morgane Austern
Wenda Zhou
David M. Blei
Peter Orbanz
85
9
0
27 Jun 2018
Search Rank Fraud De-Anonymization in Online Systems
Search Rank Fraud De-Anonymization in Online Systems
Mizanur Rahman
Nestor Hernandez
Bogdan Carbunar
Duen Horng Chau
26
8
0
23 Jun 2018
Exploring the Semantic Content of Unsupervised Graph Embeddings: An
  Empirical Study
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
Stephen Bonner
Ibad Kureshi
John Brennan
Georgios Theodoropoulos
A. Mcgough
B. Obara
95
35
0
19 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
605
2,000
0
09 Jun 2018
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse
  Annotations
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations
Ashwin Kalyan
Stefan Lee
A. Kannan
Dhruv Batra
56
6
0
08 Jun 2018
Spectral Network Embedding: A Fast and Scalable Method via Sparsity
Spectral Network Embedding: A Fast and Scalable Method via Sparsity
Jie Zhang
Yan Wang
Jie Tang
Ming Ding
GNN
40
5
0
07 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
471
3,582
0
06 Jun 2018
Closed Form Word Embedding Alignment
Closed Form Word Embedding Alignment
Sunipa Dev
Safia Hassan
J. M. Phillips
34
3
0
04 Jun 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
931
3,136
0
04 Jun 2018
Dual-Primal Graph Convolutional Networks
Dual-Primal Graph Convolutional Networks
Federico Monti
Oleksandr Shchur
Aleksandar Bojchevski
Or Litany
Stephan Günnemann
M. Bronstein
GNN
101
79
0
03 Jun 2018
Large-Margin Classification in Hyperbolic Space
Large-Margin Classification in Hyperbolic Space
Hyunghoon Cho
B. Demeo
Jianhao Peng
Bonnie Berger
72
75
0
01 Jun 2018
Fusion Graph Convolutional Networks
Fusion Graph Convolutional Networks
Priyesh Vijayan
Yash Chandak
Mitesh M. Khapra
Srinivasan Parthasarathy
B. Ravindran
GNN
86
2
0
31 May 2018
On representation power of neural network-based graph embedding and
  beyond
On representation power of neural network-based graph embedding and beyond
Akifumi Okuno
Hidetoshi Shimodaira
35
2
0
31 May 2018
What the Vec? Towards Probabilistically Grounded Embeddings
What the Vec? Towards Probabilistically Grounded Embeddings
Carl Allen
Ivana Balazevic
Timothy M. Hospedales
78
23
0
30 May 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph
  Representation Learning
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning
Shupeng Gui
Xiangliang Zhang
Shuang Qiu
Mingrui Wu
Jieping Ye
Ji Liu
47
0
0
28 May 2018
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