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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 / 2,447 papers shown
Title
Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous
  Information Networks
Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks
Anahita Hosseini
Tyler Davis
Majid Sarrafzadeh
23
4
0
22 Dec 2019
Persistent Homology of Graph Embeddings
Vinesh Solanki
Patrick Rubin-Delanchy
Ian Gallagher
27
7
0
21 Dec 2019
Meta-Graph: Few Shot Link Prediction via Meta Learning
Meta-Graph: Few Shot Link Prediction via Meta Learning
A. Bose
Ankit Jain
Piero Molino
William L. Hamilton
38
63
0
20 Dec 2019
Community detection in node-attributed social networks: a survey
Community detection in node-attributed social networks: a survey
Petr Chunaev
35
237
0
20 Dec 2019
Graph Convolutional Networks: analysis, improvements and results
Graph Convolutional Networks: analysis, improvements and results
I. Ullah
M. Manzo
M. Shah
Michael G. Madden
GNN
27
51
0
19 Dec 2019
An Attention-based Graph Neural Network for Heterogeneous Structural
  Learning
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
Huiting Hong
Hantao Guo
Yucheng Lin
Xiaoqing Yang
Zang Li
Jieping Ye
27
213
0
19 Dec 2019
Bridging the Gap between Community and Node Representations: Graph
  Embedding via Community Detection
Bridging the Gap between Community and Node Representations: Graph Embedding via Community Detection
A. Lutov
Dingqi Yang
Philippe Cudré-Mauroux
19
7
0
17 Dec 2019
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label
  Classification
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
Renchun You
Zhiyao Guo
Lei Cui
Xiang Long
Sid Ying-Ze Bao
Shilei Wen
28
184
0
17 Dec 2019
Coloring graph neural networks for node disambiguation
Coloring graph neural networks for node disambiguation
George Dasoulas
Ludovic Dos Santos
Kevin Scaman
Aladin Virmaux
41
82
0
12 Dec 2019
Tracing the Propagation Path: A Flow Perspective of Representation
  Learning on Graphs
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs
Menghan Wang
Kun Zhang
Gulin Li
Keping Yang
Luo Si
GNN
14
0
0
12 Dec 2019
Graph Input Representations for Machine Learning Applications in Urban
  Network Analysis
Graph Input Representations for Machine Learning Applications in Urban Network Analysis
Alessio Pagani
Abhinav Mehrotra
Mirco Musolesi
GNN
HAI
AI4TS
28
4
0
11 Dec 2019
Beyond Node Embedding: A Direct Unsupervised Edge Representation
  Framework for Homogeneous Networks
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks
S. Bandyopadhyay
Anirban Biswas
Narasimha M. Murty
Ramasuri Narayanam
GNN
37
16
0
11 Dec 2019
Document Network Embedding: Coping for Missing Content and Missing Links
Document Network Embedding: Coping for Missing Content and Missing Links
Jean Dupuy
Adrien Guille
Julie Jacques
14
0
0
06 Dec 2019
Hyperbolic Graph Attention Network
Hyperbolic Graph Attention Network
Yiding Zhang
Tianlin Li
Xunqiang Jiang
C. Shi
Yanfang Ye
GNN
27
131
0
06 Dec 2019
Distribution-induced Bidirectional Generative Adversarial Network for
  Graph Representation Learning
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Shuai Zheng
Zhenfeng Zhu
Xingxing Zhang
Zhizhe Liu
Jian Cheng
Yao-Min Zhao
OOD
GAN
36
32
0
04 Dec 2019
Gaussian Embedding of Large-scale Attributed Graphs
Gaussian Embedding of Large-scale Attributed Graphs
B. Hettige
Yuan-Fang Li
Weiqing Wang
Wray Buntine
BDL
11
7
0
02 Dec 2019
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
Han Zhang
Hong Xu
24
1
0
01 Dec 2019
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual
  Data
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data
Michael Günther
Maik Thiele
Wolfgang Lehner
19
7
0
28 Nov 2019
Information-Geometric Set Embeddings (IGSE): From Sets to Probability
  Distributions
Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions
Ke Sun
Frank Nielsen
GAN
22
4
0
27 Nov 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCL
DRL
28
278
0
27 Nov 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature
  Relations
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations
Chen Wang
Chengyuan Deng
Vladimir A. Ivanov
GNN
DRL
30
6
0
27 Nov 2019
Network Embedding: An Overview
Network Embedding: An Overview
Nino Arsov
G. Mirceva
GNN
22
24
0
26 Nov 2019
FCA2VEC: Embedding Techniques for Formal Concept Analysis
FCA2VEC: Embedding Techniques for Formal Concept Analysis
Dominik Dürrschnabel
Tom Hanika
Maximilian Stubbemann
13
9
0
26 Nov 2019
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information
  Network
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network
Seonghyeon Lee
Chanyoung Park
Hwanjo Yu
32
19
0
26 Nov 2019
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
Yue Wang
Chenwei Zhang
Shen Wang
Philip S. Yu
Lu Bai
Lixin Cui
Guandong Xu
29
4
0
26 Nov 2019
Independence Promoted Graph Disentangled Networks
Independence Promoted Graph Disentangled Networks
Yanbei Liu
Tianlin Li
Shu Wu
Zhitao Xiao
30
94
0
26 Nov 2019
Time-aware Gradient Attack on Dynamic Network Link Prediction
Time-aware Gradient Attack on Dynamic Network Link Prediction
Jinyin Chen
Jian Zhang
Z. Chen
Min Du
Qi Xuan
AAML
21
35
0
24 Nov 2019
Hyperbolic Multiplex Network Embedding with Maps of Random Walk
Hyperbolic Multiplex Network Embedding with Maps of Random Walk
Peiyuan Sun
17
0
0
23 Nov 2019
SWAG: Item Recommendations using Convolutions on Weighted Graphs
SWAG: Item Recommendations using Convolutions on Weighted Graphs
Amit Pande
Kai Ni
Venkataramani Kini
GNN
33
9
0
22 Nov 2019
Unsupervised Features Learning for Sampled Vector Fields
Unsupervised Features Learning for Sampled Vector Fields
M. Juda
17
2
0
22 Nov 2019
Customized Graph Embedding: Tailoring Embedding Vectors to different
  Applications
Customized Graph Embedding: Tailoring Embedding Vectors to different Applications
Bitan Hou
Yujing Wang
Ming Zeng
Shan Jiang
Ole J. Mengshoel
Yunhai Tong
Jing Bai
30
2
0
21 Nov 2019
Exponential Family Graph Embeddings
Exponential Family Graph Embeddings
Abdulkadir Çelikkanat
Fragkiskos D. Malliaros
33
13
0
20 Nov 2019
On Node Features for Graph Neural Networks
On Node Features for Graph Neural Networks
Chi Thang Duong
Thanh Dat Hoang
Haikun Dang
Quoc Viet Hung Nguyen
Karl Aberer
GNN
27
45
0
20 Nov 2019
Classification with Costly Features in Hierarchical Deep Sets
Classification with Costly Features in Hierarchical Deep Sets
Jaromír Janisch
Tomávs Pevný
Viliam Lisý
18
1
0
20 Nov 2019
Heterogeneous Deep Graph Infomax
Heterogeneous Deep Graph Infomax
Yuxiang Ren
Bo Liu
Chao Huang
Peng Dai
Liefeng Bo
Jiawei Zhang
25
102
0
19 Nov 2019
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with
  Personalized Higher-Order Proximity Preserved
RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved
Jianxin Li
Cheng Ji
Hao Peng
Yu He
Yangqiu Song
Xinmiao Zhang
Fanzhang Peng
29
2
0
18 Nov 2019
GraLSP: Graph Neural Networks with Local Structural Patterns
GraLSP: Graph Neural Networks with Local Structural Patterns
Yilun Jin
Guojie Song
C. Shi
30
48
0
18 Nov 2019
Mining Unfollow Behavior in Large-Scale Online Social Networks via
  Spatial-Temporal Interaction
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction
Haozhe Wu
Zhiyuan Hu
Jia Jia
Yaohua Bu
Xiangnan He
Tat-Seng Chua
11
12
0
17 Nov 2019
Interstellar: Searching Recurrent Architecture for Knowledge Graph
  Embedding
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
Yongqi Zhang
Quanming Yao
Lei Chen
30
4
0
17 Nov 2019
An Induced Multi-Relational Framework for Answer Selection in Community
  Question Answer Platforms
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
Kanika Narang
Chaoqi Yang
A. Krishnan
Junting Wang
Hari Sundaram
Carolyn Sutter
31
6
0
16 Nov 2019
Improving Graph Neural Network Representations of Logical Formulae with
  Subgraph Pooling
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling
Mayank Agarwal
Ibrahim Abdelaziz
Cristina Cornelio
Veronika Thost
Lingfei Wu
Kenneth D. Forbus
Achille Fokoue
NAI
AI4CE
GNN
116
36
0
15 Nov 2019
Unsupervised Attributed Multiplex Network Embedding
Unsupervised Attributed Multiplex Network Embedding
Chanyoung Park
Donghyun Kim
Jiawei Han
Hwanjo Yu
35
249
0
15 Nov 2019
Multi-hop Convolutions on Weighted Graphs
Multi-hop Convolutions on Weighted Graphs
Qikui Zhu
Bo Du
Pingkun Yan
17
15
0
12 Nov 2019
A Capsule Network-based Model for Learning Node Embeddings
A Capsule Network-based Model for Learning Node Embeddings
Dai Quoc Nguyen
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
GNN
28
9
0
12 Nov 2019
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
Ziqiang Cheng
Yang Yang
Wei Wang
Wenjie Hu
Yueting Zhuang
Guojie Song
AI4TS
26
62
0
11 Nov 2019
Higher-order Weighted Graph Convolutional Networks
Higher-order Weighted Graph Convolutional Networks
Songtao Liu
Lingwei Chen
Hanze Dong
Zihao Wang
Dinghao Wu
Zengfeng Huang
GNN
25
26
0
11 Nov 2019
Graph Representation Learning via Multi-task Knowledge Distillation
Graph Representation Learning via Multi-task Knowledge Distillation
Jiaqi Ma
Qiaozhu Mei
32
18
0
11 Nov 2019
Community-preserving Graph Convolutions for Structural and Functional
  Joint Embedding of Brain Networks
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks
Jiahao Liu
Guixiang Ma
Fei Jiang
Chun-Ta Lu
Philip S. Yu
A. Ragin
25
26
0
08 Nov 2019
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction
Multi-MotifGAN (MMGAN): Motif-targeted Graph Generation and Prediction
Anuththari Gamage
Eli Chien
Jianhao Peng
O. Milenkovic
GAN
24
15
0
08 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing
Neural Graph Embedding Methods for Natural Language Processing
Shikhar Vashishth
GNN
25
9
0
08 Nov 2019
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