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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 / 2,442 papers shown
Title
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed
  Network Embedding
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding
Vachik S. Dave
Baichuan Zhang
Pin-Yu Chen
M. Hasan
BDL
29
29
0
23 Apr 2018
Bilingual Embeddings with Random Walks over Multilingual Wordnets
Bilingual Embeddings with Random Walks over Multilingual Wordnets
J. Goikoetxea
Aitor Soroa Etxabe
Eneko Agirre
22
19
0
23 Apr 2018
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
Anahita Hosseini
Ting-Li Chen
Wenjun Wu
Yizhou Sun
Majid Sarrafzadeh
19
50
0
22 Apr 2018
Expert Finding in Community Question Answering: A Review
Expert Finding in Community Question Answering: A Review
Sha Yuan
Yu Zhang
Jie Tang
J. Cabota
29
96
0
21 Apr 2018
Scalable attribute-aware network embedding with locality
Scalable attribute-aware network embedding with locality
Weiyi Liu
Zhining Liu
Toyotaro Suzumura
Guangmin Hu
GNN
9
0
0
17 Apr 2018
Feature Propagation on Graph: A New Perspective to Graph Representation
  Learning
Feature Propagation on Graph: A New Perspective to Graph Representation Learning
B. Xiang
Ziqi Liu
Jun Zhou
Xiaolong Li
3DV
GNN
40
7
0
17 Apr 2018
Models for Capturing Temporal Smoothness in Evolving Networks for
  Learning Latent Representation of Nodes
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes
T. K. Saha
Thomas Williams
M. Hasan
Shafiq Joty
Nicholas K. Varberg
23
9
0
16 Apr 2018
Walk-Steered Convolution for Graph Classification
Walk-Steered Convolution for Graph Classification
Jiatao Jiang
Chunyan Xu
Zhen Cui
Tong Zhang
Chengzhen Li
Jian Yang
GNN
25
12
0
16 Apr 2018
ClassiNet -- Predicting Missing Features for Short-Text Classification
ClassiNet -- Predicting Missing Features for Short-Text Classification
Danushka Bollegala
Vincent Atanasov
Takanori Maehara
Ken-ichi Kawarabayashi
GNN
17
15
0
14 Apr 2018
Not all Embeddings are created Equal: Extracting Entity-specific
  Substructures for RDF Graph Embedding
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding
Muhammad Rizwan Saeed
C. Chelmis
Viktor Prasanna
9
8
0
14 Apr 2018
Distributed Collaborative Hashing and Its Applications in Ant Financial
Distributed Collaborative Hashing and Its Applications in Ant Financial
Chaochao Chen
Ziqi Liu
P. Zhao
Longfei Li
Jun Zhou
Xiaolong Li
FedML
6
7
0
13 Apr 2018
Predicting Twitter User Socioeconomic Attributes with Network and
  Language Information
Predicting Twitter User Socioeconomic Attributes with Network and Language Information
Nikolaos Aletras
B. Chamberlain
19
53
0
11 Apr 2018
Adaptive Diffusions for Scalable Learning over Graphs
Adaptive Diffusions for Scalable Learning over Graphs
Dimitris Berberidis
A. Nikolakopoulos
G. Giannakis
GNN
27
36
0
05 Apr 2018
Image Generation from Scene Graphs
Image Generation from Scene Graphs
Justin Johnson
Agrim Gupta
Li Fei-Fei
GNN
223
815
0
04 Apr 2018
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
O. Ganea
Gary Bécigneul
Thomas Hofmann
30
264
0
03 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural
  Networks
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
Kun Xu
Lingfei Wu
Zhiguo Wang
Yansong Feng
Michael Witbrock
V. Sheinin
GNN
25
172
0
03 Apr 2018
mQAPViz: A divide-and-conquer multi-objective optimization algorithm to
  compute large data visualizations
mQAPViz: A divide-and-conquer multi-objective optimization algorithm to compute large data visualizations
C. Sanhueza
Francia Jiménez
Regina Berretta
P. Moscato
13
0
0
02 Apr 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Attentional Multilabel Learning over Graphs: A Message Passing Approach
Kien Do
T. Tran
Thin Nguyen
Svetha Venkatesh
29
17
0
01 Apr 2018
Modeling Customer Engagement from Partial Observations
Modeling Customer Engagement from Partial Observations
Jelena Stojanovic
Djordje Gligorijevic
Z. Obradovic
12
6
0
28 Mar 2018
Graphite: Iterative Generative Modeling of Graphs
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover
Aaron Zweig
Stefano Ermon
BDL
33
296
0
28 Mar 2018
Bernoulli Embeddings for Graphs
Bernoulli Embeddings for Graphs
Vinith Misra
S. Bhatia
30
16
0
25 Mar 2018
AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network
  Embedding
AAANE: Attention-based Adversarial Autoencoder for Multi-scale Network Embedding
Lei Sang
Min Xu
Shengsheng Qian
Xindong Wu
GAN
GNN
16
11
0
24 Mar 2018
SEGEN: Sample-Ensemble Genetic Evolutional Network Model
SEGEN: Sample-Ensemble Genetic Evolutional Network Model
Jiawei Zhang
Limeng Cui
Fisher B. Gouza
VLM
11
7
0
23 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification
Graph Partition Neural Networks for Semi-Supervised Classification
Renjie Liao
Marc Brockschmidt
Daniel Tarlow
Alexander L. Gaunt
R. Urtasun
R. Zemel
GNN
22
76
0
16 Mar 2018
Self-Similar Epochs: Value in Arrangement
Self-Similar Epochs: Value in Arrangement
Eliav Buchnik
E. Cohen
Avinatan Hassidim
Yossi Matias
6
0
0
14 Mar 2018
VERSE: Versatile Graph Embeddings from Similarity Measures
VERSE: Versatile Graph Embeddings from Similarity Measures
Anton Tsitsulin
Davide Mottin
Panagiotis Karras
Emmanuel Müller
32
267
0
13 Mar 2018
Representation Learning over Dynamic Graphs
Representation Learning over Dynamic Graphs
Rakshit S. Trivedi
Mehrdad Farajtabar
P. Biswal
H. Zha
AI4TS
AI4CE
14
51
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
29
332
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
27
338
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
36
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
19
493
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
39
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
GAN
GNN
29
361
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
40
142
0
28 Feb 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
19
1,902
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
28
77
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
GNN
SSL
36
258
0
24 Feb 2018
Learning to Make Predictions on Graphs with Autoencoders
Learning to Make Predictions on Graphs with Autoencoders
Phi Vu Tran
GNN
SSL
AI4CE
24
57
0
23 Feb 2018
Learning Topic Models by Neighborhood Aggregation
Learning Topic Models by Neighborhood Aggregation
Ryohei Hisano
26
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
13
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
19
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
41
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
GNN
DRL
BDL
DiffM
30
212
0
14 Feb 2018
Graph2Seq: Scalable Learning Dynamics for Graphs
Graph2Seq: Scalable Learning Dynamics for Graphs
S. Venkatakrishnan
Mohammad Alizadeh
Pramod Viswanath
GNN
36
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
19
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
GNN
GAN
22
442
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
31
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
27
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
28
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
30
2
0
06 Feb 2018
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