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node2vec: Scalable Feature Learning for Networks

node2vec: Scalable Feature Learning for Networks

3 July 2016
Aditya Grover
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,628 papers shown
Title
Deep Learning Approach on Information Diffusion in Heterogeneous
  Networks
Deep Learning Approach on Information Diffusion in Heterogeneous Networks
Soheila Molaei
Hadi Zare
H. Veisi
27
50
0
23 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform
AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu
Kun Zhao
Hongxia Yang
Wei Lin
Chang Zhou
Baole Ai
Yong Li
Jingren Zhou
GNN
119
390
0
23 Feb 2019
Robust Graph Embedding with Noisy Link Weights
Robust Graph Embedding with Noisy Link Weights
Akifumi Okuno
Hidetoshi Shimodaira
NoLa
31
7
0
22 Feb 2019
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction
Jinyin Chen
Jian Zhang
Xuanheng Xu
Chenbo Fu
Dan Zhang
Qingpeng Zhang
Qi Xuan
80
145
0
22 Feb 2019
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise
  Graph Neural Networks
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks
Zeyu Cui
Zekun Li
Shu Wu
Xiaoyu Zhang
Liang Wang
101
103
0
21 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph
  Structure
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng
Xiangnan He
Jie Tang
Tat-Seng Chua
OODAAML
132
222
0
20 Feb 2019
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Yue Zhao
Jiliang Tang
D. Yin
286
1,923
0
19 Feb 2019
Learning Topological Representation for Networks via Hierarchical
  Sampling
Learning Topological Representation for Networks via Hierarchical Sampling
Guoji Fu
Chengbin Hou
Xin Yao
AI4TS
52
26
0
15 Feb 2019
Author Profiling for Hate Speech Detection
Author Profiling for Hate Speech Detection
Pushkar Mishra
Marco Del Tredici
H. Yannakoudakis
Ekaterina Shutova
137
17
0
14 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node
  Classification
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification
Fenyu Hu
Yanqiao Zhu
Shu Wu
Liang Wang
Tieniu Tan
GNN
56
7
0
13 Feb 2019
Hyperbolic Disk Embeddings for Directed Acyclic Graphs
Hyperbolic Disk Embeddings for Directed Acyclic Graphs
Ryota Suzuki
Ryusuke Takahama
Shunzo Onoda
98
48
0
12 Feb 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and
  Classification
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification
Blaž Škrlj
Jan Kralj
Janez Konc
Marko Robnik-Šikonja
Nada Lavrac
GNNBDL
89
3
0
11 Feb 2019
Link Prediction via Higher-Order Motif Features
Link Prediction via Higher-Order Motif Features
Ghadeer Abuoda
G. D. F. Morales
Ashraf Aboulnaga
92
37
0
08 Feb 2019
Heterogeneous Edge Embeddings for Friend Recommendation
Heterogeneous Edge Embeddings for Friend Recommendation
Janu Verma
Srishti Gupta
Debdoot Mukherjee
Tanmoy Chakraborty
42
6
0
07 Feb 2019
Word Embeddings for Entity-annotated Texts
Word Embeddings for Entity-annotated Texts
Satya Almasian
Andreas Spitz
Michael Gertz
98
7
0
06 Feb 2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short
  Text Classification
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification
Blaž Škrlj
Matej Martinc
Jan Kralj
Nada Lavrac
Senja Pollak
103
44
0
01 Feb 2019
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with
  Applications to Global Poverty
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
Muhammad Raza Khan
J. Blumenstock
59
79
0
31 Jan 2019
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding
Sheng Zhou
Jiajun Bu
Xin Eric Wang
Jiawei Chen
Can Wang
80
24
0
31 Jan 2019
Representation Learning for Heterogeneous Information Networks via
  Embedding Events
Representation Learning for Heterogeneous Information Networks via Embedding Events
Guoji Fu
Bo Yuan
Qiqi Duan
Xin Yao
33
20
0
29 Jan 2019
Neural Related Work Summarization with a Joint Context-driven Attention
  Mechanism
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
Yongzhen Wang
Xiaozhong Liu
Zheng Gao
AI4TS
65
23
0
28 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their
  Embeddings and Back
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back
M. Simonovsky
BDLGNN
79
1
0
24 Jan 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised
  Learning
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Shikhar Vashishth
Prateek Yadav
Manik Bhandari
Partha P. Talukdar
GNN
78
40
0
24 Jan 2019
CommunityGAN: Community Detection with Generative Adversarial Nets
CommunityGAN: Community Detection with Generative Adversarial Nets
Yuting Jia
Qinqin Zhang
Weinan Zhang
Xinbing Wang
GNNGAN
86
117
0
20 Jan 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu
Dixin Luo
H. Zha
Lawrence Carin
124
261
0
17 Jan 2019
Learning Vertex Representations for Bipartite Networks
Learning Vertex Representations for Bipartite Networks
Ming Gao
Xiangnan He
Leihui Chen
Tingting Liu
Jinglin Zhang
Aoying Zhou
68
23
0
16 Jan 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
Xi Liu
Muhe Xie
Xidao Wen
Rui Chen
Yong Ge
N. Duffield
Na Wang
55
20
0
14 Jan 2019
Search Efficient Binary Network Embedding
Search Efficient Binary Network Embedding
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
57
4
0
14 Jan 2019
Attributed Network Embedding via Subspace Discovery
Attributed Network Embedding via Subspace Discovery
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
138
48
0
14 Jan 2019
Predicting Diffusion Reach Probabilities via Representation Learning on
  Social Networks
Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks
Furkan Gursoy
Ahmet Onur Durahim
DiffMGNN
18
1
0
12 Jan 2019
Deep Network Embedding for Graph Representation Learning in Signed
  Networks
Deep Network Embedding for Graph Representation Learning in Signed Networks
X. Shen
F. Chung
GNN
76
90
0
07 Jan 2019
Vector representations of text data in deep learning
Vector representations of text data in deep learning
Karol Grzegorczyk
63
12
0
07 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Renjie Liao
Zhizhen Zhao
R. Urtasun
R. Zemel
GNN
131
228
0
06 Jan 2019
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Hooman Peiro Sajjad
Andrew Docherty
Y. Tyshetskiy
61
27
0
05 Jan 2019
Learning Graph Embedding with Adversarial Training Methods
Learning Graph Embedding with Adversarial Training Methods
Shirui Pan
Ruiqi Hu
S. Fung
Guodong Long
Jing Jiang
Chengqi Zhang
GNNGAN
107
290
0
04 Jan 2019
Cross-language Citation Recommendation via Hierarchical Representation
  Learning on Heterogeneous Graph
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph
Zhuoren Jiang
Yue Yin
Liangcai Gao
Yao Lu
Xiaozhong Liu
53
50
0
31 Dec 2018
Dynamic Graph Representation Learning via Self-Attention Networks
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar
Yanhong Wu
Liang Gou
Wei Zhang
Hao Yang
GNN
103
119
0
22 Dec 2018
COSINE: Compressive Network Embedding on Large-scale Information
  Networks
COSINE: Compressive Network Embedding on Large-scale Information Networks
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Maosong Sun
Zhichong Fang
Bo Zhang
Leyu Lin
GNN
60
7
0
21 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.2K
5,613
0
20 Dec 2018
Representation Learning for Spatial Graphs
Representation Learning for Spatial Graphs
Zheng Wang
Ce Ju
Gao Cong
Cheng Long
GNN
52
3
0
17 Dec 2018
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph
  Embedding
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Yongqi Zhang
Quanming Yao
Yingxia Shao
Lei Chen
BDL
108
125
0
16 Dec 2018
Learning Features of Network Structures Using Graphlets
Learning Features of Network Structures Using Graphlets
Kun Tu
Jian Li
Don Towsley
Dave Braines
Liam D. Turner
GNN
57
2
0
13 Dec 2018
Improved Knowledge Graph Embedding using Background Taxonomic
  Information
Improved Knowledge Graph Embedding using Background Taxonomic Information
Bahare Fatemi
Siamak Ravanbakhsh
David Poole
94
40
0
07 Dec 2018
LNEMLC: Label Network Embeddings for Multi-Label Classification
LNEMLC: Label Network Embeddings for Multi-Label Classification
Piotr Szymañski
Tomasz Kajdanowicz
Nitesh Chawla
54
6
0
07 Dec 2018
dynnode2vec: Scalable Dynamic Network Embedding
dynnode2vec: Scalable Dynamic Network Embedding
Sedigheh Mahdavi
Shima Khoshraftar
Aijun An
82
114
0
06 Dec 2018
Learning Dynamic Embeddings from Temporal Interactions
Learning Dynamic Embeddings from Temporal Interactions
Srijan Kumar
Xikun Zhang
J. Leskovec
AI4TS
72
27
0
06 Dec 2018
Graph-based Security and Privacy Analytics via Collective Classification
  with Joint Weight Learning and Propagation
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation
Willem Blokland
Jinyuan Jia
Kishansingh Rajput
86
53
0
04 Dec 2018
Online Graph-Adaptive Learning with Scalability and Privacy
Online Graph-Adaptive Learning with Scalability and Privacy
Yanning Shen
G. Leus
G. Giannakis
66
32
0
03 Dec 2018
A Dynamic Network and Representation LearningApproach for Quantifying
  Economic Growth fromSatellite Imagery
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery
Jiqian Dong
Gopaljee Atulya
Kartikeya Bhardwaj
R. Marculescu
28
0
0
01 Dec 2018
Graph Node-Feature Convolution for Representation Learning
Graph Node-Feature Convolution for Representation Learning
Li Zhang
Heda Song
Nikolaos Aletras
Haiping Lu
GNNSSL
59
13
0
30 Nov 2018
The Graph-Based Behavior-Aware Recommendation for Interactive News
The Graph-Based Behavior-Aware Recommendation for Interactive News
Mingyuan Ma
Sen Na
Hongyu Wang
Congzhou Chen
Jin Xu
137
19
0
30 Nov 2018
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