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LINE: Large-scale Information Network Embedding

LINE: Large-scale Information Network Embedding

12 March 2015
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
    GNN
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Papers citing "LINE: Large-scale Information Network Embedding"

50 / 489 papers shown
Title
DANE: Domain Adaptive Network Embedding
DANE: Domain Adaptive Network Embedding
Yizhou Zhang
Guojie Song
Lun Du
Shuwen Yang
Yilun Jin
OOD
27
78
0
03 Jun 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Ninghao Liu
Qiaoyu Tan
Yuening Li
Hongxia Yang
Jingren Zhou
Xia Hu
30
86
0
25 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A
  Novel Graph Neural Network Approach
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
Changjun Fan
Li Zeng
Yuhui Ding
Muhao Chen
Yizhou Sun
Zhong Liu
GNN
30
66
0
24 May 2019
GMNN: Graph Markov Neural Networks
GMNN: Graph Markov Neural Networks
Meng Qu
Yoshua Bengio
Jian Tang
BDL
GNN
22
288
0
15 May 2019
Relation Structure-Aware Heterogeneous Information Network Embedding
Relation Structure-Aware Heterogeneous Information Network Embedding
Yuanfu Lu
C. Shi
Linmei Hu
Zhiyuan Liu
22
125
0
15 May 2019
Language in Our Time: An Empirical Analysis of Hashtags
Language in Our Time: An Empirical Analysis of Hashtags
Yang Zhang
23
26
0
11 May 2019
Is a Single Embedding Enough? Learning Node Representations that Capture
  Multiple Social Contexts
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
Alessandro Epasto
Bryan Perozzi
30
103
0
06 May 2019
Representation Learning for Attributed Multiplex Heterogeneous Network
Representation Learning for Attributed Multiplex Heterogeneous Network
Yukuo Cen
Xu Zou
Jianwei Zhang
Hongxia Yang
Jingren Zhou
Jie Tang
GNN
23
428
0
05 May 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma
Ming Li
Yuguang Wang
GNN
24
24
0
24 Apr 2019
Deep Representation Learning for Social Network Analysis
Deep Representation Learning for Social Network Analysis
Qiaoyu Tan
Ninghao Liu
Xia Hu
AI4TS
GNN
27
100
0
18 Apr 2019
Multimodal Deep Network Embedding with Integrated Structure and
  Attribute Information
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information
Conghui Zheng
Li Pan
Peng Wu
23
22
0
28 Mar 2019
Node Embedding over Temporal Graphs
Node Embedding over Temporal Graphs
Uriel Singer
Ido Guy
Kira Radinsky
14
149
0
21 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning
A Comparative Study for Unsupervised Network Representation Learning
Megha Khosla
Vinay Setty
Avishek Anand
SSL
26
54
0
19 Mar 2019
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu
Shizhen Xu
Meng Qu
Jian Tang
GNN
19
112
0
02 Mar 2019
Attacking Graph-based Classification via Manipulating the Graph
  Structure
Attacking Graph-based Classification via Manipulating the Graph Structure
Binghui Wang
Neil Zhenqiang Gong
AAML
39
155
0
01 Mar 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node
  Classification
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification
Ke Sun
Zhouchen Lin
Hantao Guo
Zhanxing Zhu
24
24
0
28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on
  Graphs with Few Labels
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels
Ke Sun
Zhouchen Lin
Zhanxing Zhu
SSL
45
272
0
28 Feb 2019
Global Vectors for Node Representations
Global Vectors for Node Representations
Robin Brochier
Adrien Guille
Julien Velcin
11
50
0
28 Feb 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A. Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
H. Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leisersen
GNN
52
1,043
0
26 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks
Batch Virtual Adversarial Training for Graph Convolutional Networks
Zhijie Deng
Yinpeng Dong
Jun Zhu
GNN
28
63
0
25 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders
A Degeneracy Framework for Scalable Graph Autoencoders
Guillaume Salha-Galvan
Romain Hennequin
Viet-Anh Tran
Michalis Vazirgiannis
GNN
34
36
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
39
386
0
23 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
OOD
AAML
34
219
0
20 Feb 2019
Link Prediction via Higher-Order Motif Features
Link Prediction via Higher-Order Motif Features
Ghadeer Abuoda
G. D. F. Morales
Ashraf Aboulnaga
27
37
0
08 Feb 2019
Improving Question Answering with External Knowledge
Improving Question Answering with External Knowledge
Xiaoman Pan
Kai Sun
Dian Yu
Jianshu Chen
Heng Ji
Claire Cardie
Dong Yu
KELM
19
66
0
03 Feb 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
24
20
0
29 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
33
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
GNN
GAN
32
115
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
30
255
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
22
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
21
19
0
14 Jan 2019
Attributed Network Embedding via Subspace Discovery
Attributed Network Embedding via Subspace Discovery
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
24
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
DiffM
GNN
11
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
12
88
0
07 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
GNN
GAN
27
282
0
04 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
167
8,393
0
03 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
8
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
22
119
0
22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Yuchen Zhang
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
37
5,416
0
20 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
18
2
0
13 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
56
1,321
0
11 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
21
51
0
04 Dec 2018
Graph Node-Feature Convolution for Representation Learning
Graph Node-Feature Convolution for Representation Learning
Li Zhang
Heda Song
Nikolaos Aletras
Haiping Lu
GNN
SSL
20
13
0
30 Nov 2018
Adversarial Classifier for Imbalanced Problems
Adversarial Classifier for Imbalanced Problems
Ehsan Montahaei
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
21
12
0
21 Nov 2018
Outlier Aware Network Embedding for Attributed Networks
Outlier Aware Network Embedding for Attributed Networks
S. Bandyopadhyay
N. Lokesh
M. Murty
37
92
0
19 Nov 2018
SepNE: Bringing Separability to Network Embedding
SepNE: Bringing Separability to Network Embedding
Ziyao Li
Liang Zhang
Guojie Song
GNN
28
13
0
14 Nov 2018
A Hierarchical Framework for Relation Extraction with Reinforcement
  Learning
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
Ryuichi Takanobu
Tianyang Zhang
Jiexi Liu
Minlie Huang
35
223
0
09 Nov 2018
Session-based Recommendation with Graph Neural Networks
Session-based Recommendation with Graph Neural Networks
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
GNN
16
1,539
0
01 Nov 2018
Node Representation Learning for Directed Graphs
Node Representation Learning for Directed Graphs
Megha Khosla
Jurek Leonhardt
Wolfgang Nejdl
Avishek Anand
29
55
0
22 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
127
1,660
0
14 Oct 2018
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