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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
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint
  Embedding for Chinese Character Variation Representation
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation
Zhuoren Jiang
Zhe Gao
Guoxiu He
Yangyang Kang
Changlong Sun
Qiong Zhang
Luo Si
Xiaozhong Liu
64
20
0
30 Aug 2019
Adversarial Training Methods for Network Embedding
Adversarial Training Methods for Network Embedding
Quanyu Dai
X. Shen
Liang Zhang
Qiang Li
Dan Wang
GAN
87
105
0
30 Aug 2019
Fast and Accurate Network Embeddings via Very Sparse Random Projection
Fast and Accurate Network Embeddings via Very Sparse Random Projection
Haochen Chen
Syed Fahad Sultan
Yingtao Tian
Muhao Chen
Steven Skiena
67
92
0
30 Aug 2019
A Deep Neural Information Fusion Architecture for Textual Network
  Embeddings
A Deep Neural Information Fusion Architecture for Textual Network Embeddings
Zenan Xu
Qinliang Su
Xiaojun Quan
Weijia Zhang
67
6
0
29 Aug 2019
Neural Networks for Relational Data
Neural Networks for Relational Data
Navdeep Kaur
Gautam Kunapuli
Saket Joshi
Kristian Kersting
Sriraam Natarajan
GNNNAI
61
7
0
28 Aug 2019
Initialization for Network Embedding: A Graph Partition Approach
Initialization for Network Embedding: A Graph Partition Approach
Wenqing Lin
Feng He
Faqiang Zhang
Xu Cheng
Hongyun Cai
GNN
74
22
0
28 Aug 2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge
  Graphs and Behavior-specific Networks
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
Yuting Ye
Xuwu Wang
Jiangchao Yao
Kunyang Jia
Jingren Zhou
Yanghua Xiao
Hongxia Yang
BDL
85
27
0
28 Aug 2019
Variational Graph Recurrent Neural Networks
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali
Arman Hasanzadeh
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDLGNN
86
188
0
26 Aug 2019
Hyper-Path-Based Representation Learning for Hyper-Networks
Hyper-Path-Based Representation Learning for Hyper-Networks
Jie Huang
Xin Liu
Yangqiu Song
GNN
92
27
0
24 Aug 2019
On Proximity and Structural Role-based Embeddings in Networks:
  Misconceptions, Techniques, and Applications
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications
Ryan A. Rossi
Di Jin
Sungchul Kim
Nesreen Ahmed
Danai Koutra
J. B. Lee
75
38
0
22 Aug 2019
Spam Review Detection with Graph Convolutional Networks
Spam Review Detection with Graph Convolutional Networks
Ao Li
Zhou Qin
Runshi Liu
Yiqun Yang
Dong Li
GNN
83
249
0
22 Aug 2019
motif2vec: Motif Aware Node Representation Learning for Heterogeneous
  Networks
motif2vec: Motif Aware Node Representation Learning for Heterogeneous Networks
Manoj Reddy Dareddy
Mahashweta Das
Hao Yang
84
26
0
22 Aug 2019
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs
Yayong Li
Jie Yin
Ling-Hao Chen
67
30
0
22 Aug 2019
AHINE: Adaptive Heterogeneous Information Network Embedding
AHINE: Adaptive Heterogeneous Information Network Embedding
Yucheng Lin
Xiaoqing Yang
Zang Li
Jieping Ye
GNN
40
2
0
20 Aug 2019
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding
Yiwei Sun
Suhang Wang
Tsung-Yu Hsieh
Xianfeng Tang
Vasant Honavar
GAN
63
45
0
20 Aug 2019
Feature Interaction-aware Graph Neural Networks
Feature Interaction-aware Graph Neural Networks
Kaize Ding
Yichuan Li
Jundong Li
Chenghao Liu
Huan Liu
GNN
65
10
0
19 Aug 2019
Semi-Implicit Graph Variational Auto-Encoders
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDLGNN
96
132
0
19 Aug 2019
Benchmarks for Graph Embedding Evaluation
Benchmarks for Graph Embedding Evaluation
Palash Goyal
Di Huang
Ankita Goswami
Sujit Rokka Chhetri
A. Canedo
Emilio Ferrara
54
15
0
19 Aug 2019
Neural Dynamics on Complex Networks
Neural Dynamics on Complex Networks
Chengxi Zang
Fei Wang
AI4CE
123
71
0
18 Aug 2019
Domain-adversarial Network Alignment
Domain-adversarial Network Alignment
Huiting Hong
Xin Li
Yuangang Pan
Ivor Tsang
41
34
0
15 Aug 2019
HONEM: Learning Embedding for Higher Order Networks
HONEM: Learning Embedding for Higher Order Networks
Mandana Saebi
Giovanni Luca Ciampaglia
Lance M. Kaplan
Nitesh Chawla
28
4
0
15 Aug 2019
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation
  Network
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
Bo Jiang
Leiling Wang
Jin Tang
Bin Luo
GNN
50
0
0
14 Aug 2019
Memory-Based Neighbourhood Embedding for Visual Recognition
Memory-Based Neighbourhood Embedding for Visual Recognition
Suichan Li
Dapeng Chen
B. Liu
Nenghai Yu
Rui Zhao
140
39
0
14 Aug 2019
Scalable Explanation of Inferences on Large Graphs
Scalable Explanation of Inferences on Large Graphs
Chao Chen
Yuhang Liu
Xi Zhang
Sihong Xie
70
6
0
13 Aug 2019
Deep Hashing for Signed Social Network Embedding
Deep Hashing for Signed Social Network Embedding
Jia-Nan Guo
Xian-Ling Mao
Xiao-Jian Jiang
Yingxiang Sun
Wei Wei
Heyan Huang
FedML
44
1
0
12 Aug 2019
RWR-GAE: Random Walk Regularization for Graph Auto Encoders
RWR-GAE: Random Walk Regularization for Graph Auto Encoders
Vaibhav
Po-Yao (Bernie) Huang
R. Frederking
49
27
0
12 Aug 2019
Graph Node Embeddings using Domain-Aware Biased Random Walks
Graph Node Embeddings using Domain-Aware Biased Random Walks
Sourav Mukherjee
Tim Oates
Ryan Wright
24
1
0
08 Aug 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph
  Representation Learning
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
Jiwoong Park
Minsik Lee
H. Chang
Kyuewang Lee
J. Choi
SSL
134
239
0
07 Aug 2019
Continuous Graph Flow
Continuous Graph Flow
Zhiwei Deng
Megha Nawhal
Lili Meng
Greg Mori
66
3
0
07 Aug 2019
A Restricted Black-box Adversarial Framework Towards Attacking Graph
  Embedding Models
A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
Heng Chang
Yu Rong
Tingyang Xu
Wenbing Huang
Honglei Zhang
Peng Cui
Wenwu Zhu
Junzhou Huang
AAML
112
157
0
04 Aug 2019
Hybrid Low-order and Higher-order Graph Convolutional Networks
Hybrid Low-order and Higher-order Graph Convolutional Networks
Fangyu Lei
Xun Liu
Qingyun Dai
B. Ling
Huimin Zhao
Yan Liu
GNN
44
16
0
02 Aug 2019
Cross-domain Network Representations
Cross-domain Network Representations
Shan Xue
Jie Lu
Guangquan Zhang
92
16
0
01 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
212
872
0
31 Jul 2019
Soccer Team Vectors
Soccer Team Vectors
Robert Muller
Stefan Langer
Fabian Ritz
Christoph Roch
Steffen Illium
Claudia Linnhoff-Popien
22
0
0
30 Jul 2019
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network
  Embedding
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding
Chengbin Hou
Han Zhang
Ke Tang
Shan He
78
7
0
27 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
136
1,358
0
25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social
  Recommendation
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
KyungHyun Kim
Donghyun Kwak
Hanock Kwak
Young-Jin Park
Sangkwon Sim
Jae-Han Cho
Minkyu Kim
Jihun Kwon
Nako Sung
Jung-Woo Ha
78
19
0
24 Jul 2019
Trees and Islands -- Machine learning approach to nuclear physics
Trees and Islands -- Machine learning approach to nuclear physics
Nishchal R. Dwivedi
22
3
0
23 Jul 2019
Node Attribute Generation on Graphs
Node Attribute Generation on Graphs
Xu Chen
Siheng Chen
Huangjie Zheng
Jiangchao Yao
Kenan Cui
Ya Zhang
Ivor W. Tsang
47
2
0
23 Jul 2019
Multi-Modal Adversarial Autoencoders for Recommendations of Citations
  and Subject Labels
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
Lukas Galke
Florian Mai
Iacopo Vagliano
A. Scherp
39
25
0
22 Jul 2019
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted
  Sampling
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling
Pedro Almagro Blanco
Fernando Sancho-Caparrini
30
1
0
20 Jul 2019
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical
  Knowledge Base for Healthcare Analytics
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics
Khushbu Agarwal
T. Eftimov
Raghavendra Addanki
Sutanay Choudhury
S. Tamang
R. Rallo
99
23
0
19 Jul 2019
ELG: An Event Logic Graph
ELG: An Event Logic Graph
Xiao Ding
Zhongyang Li
Ting Liu
Kuo Liao
70
40
0
18 Jul 2019
DeepDrawing: A Deep Learning Approach to Graph Drawing
DeepDrawing: A Deep Learning Approach to Graph Drawing
Yong Wang
Zhihua Jin
Qianwen Wang
Weiwei Cui
Tengfei Ma
Huamin Qu
105
56
0
17 Jul 2019
Embedding-based Silhouette Community Detection
Embedding-based Silhouette Community Detection
Blaž Škrlj
Jan Kralj
Nada Lavrac
79
22
0
17 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions
DeepTrax: Embedding Graphs of Financial Transactions
C. Bayan Bruss
Anish Khazane
Jonathan Rider
R. Serpe
Antonia Gogoglou
Keegan E. Hines
AIFinGNN
89
46
0
16 Jul 2019
k-hop Graph Neural Networks
k-hop Graph Neural Networks
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
80
106
0
13 Jul 2019
Semi-Supervised Graph Embedding for Multi-Label Graph Node
  Classification
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
Kaisheng Gao
Jing Zhang
Cangqi Zhou
54
8
0
12 Jul 2019
Mercem: Method Name Recommendation Based on Call Graph Embedding
Mercem: Method Name Recommendation Based on Call Graph Embedding
Hiroshi Yonai
Yasuhiro Hayase
H. Kitagawa
67
15
0
12 Jul 2019
Towards Probabilistic Generative Models Harnessing Graph Neural Networks
  for Disease-Gene Prediction
Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction
Vikash Singh
Pietro Lio
AI4CE
60
11
0
12 Jul 2019
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