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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
GraphMAE: Self-Supervised Masked Graph Autoencoders
GraphMAE: Self-Supervised Masked Graph Autoencoders
Zhenyu Hou
Xiao Liu
Yukuo Cen
Yuxiao Dong
Hongxia Yang
C. Wang
Jie Tang
SSL
52
551
0
22 May 2022
A Mutually Exciting Latent Space Hawkes Process Model for
  Continuous-time Networks
A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks
Zhipeng Huang
Hadeel Soliman
Subhadeep Paul
Kevin S. Xu
24
11
0
19 May 2022
Scalable Multi-view Clustering with Graph Filtering
Scalable Multi-view Clustering with Graph Filtering
Liang Liu
Peng Chen
Guangchun Luo
Zhao Kang
Yonggang Luo
Sanchu Han
43
21
0
18 May 2022
A Survey on Fairness for Machine Learning on Graphs
A Survey on Fairness for Machine Learning on Graphs
Charlotte Laclau
C. Largeron
Manvi Choudhary
FaML
15
23
0
11 May 2022
Fake News Detection with Heterogeneous Transformer
Fake News Detection with Heterogeneous Transformer
Tianle Li
Yushi Sun
Shang-ling Hsu
Yanjia Li
Raymond Chi-Wing Wong
29
3
0
06 May 2022
Uniform Manifold Approximation with Two-phase Optimization
Uniform Manifold Approximation with Two-phase Optimization
Hyeon Jeon
Hyung-Kwon Ko
S. Lee
Jaemin Jo
Jinwook Seo
37
13
0
01 May 2022
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum
  Phishing Scams Detection
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
Sijia Li
Gaopeng Gou
Chang Liu
Chengshang Hou
Zhenzhen Li
G. Xiong
GNN
21
88
0
28 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
29
4
0
18 Apr 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph
  Representations
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Nikolaos Nakis
Abdulkadir Çelikkanat
Sune Lehmann
Morten Mørup
28
7
0
12 Apr 2022
Bayesian Negative Sampling for Recommendation
Bayesian Negative Sampling for Recommendation
B. Liu
Bang-wei Wang
BDL
33
9
0
02 Apr 2022
Duality-Induced Regularizer for Semantic Matching Knowledge Graph
  Embeddings
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings
Jie Wang
Zhanqiu Zhang
Zhihao Shi
Jianyu Cai
Shuiwang Ji
Feng Wu
24
8
0
24 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A
  Survey
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey
Yuecai Zhu
Fuyuan Lyu
Chengming Hu
X. Chen
Xue Liu
AI4TS
AI4CE
21
20
0
20 Mar 2022
Graph Attention Transformer Network for Multi-Label Image Classification
Graph Attention Transformer Network for Multi-Label Image Classification
Jin Yuan
Shikai Chen
Yao Zhang
Zhongchao Shi
Xin Geng
Jianping Fan
Yong Rui
ViT
31
30
0
08 Mar 2022
An Effective Graph Learning based Approach for Temporal Link Prediction:
  The First Place of WSDM Cup 2022
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022
Qian Zhao
Shuo Yang
Binbin Hu
Qing Cui
Yakun Wang
Yusong Chen
Jun Zhou
Chuan Shi
16
1
0
01 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks
Hongya Wang
Haoteng Yin
Muhan Zhang
Pan Li
46
108
0
01 Mar 2022
Deep Graph Learning for Anomalous Citation Detection
Deep Graph Learning for Anomalous Citation Detection
Jiaying Liu
Feng Xia
Xu Feng
Jing Ren
Huan Liu
29
41
0
23 Feb 2022
Effective Urban Region Representation Learning Using Heterogeneous Urban
  Graph Attention Network (HUGAT)
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)
Namwoo Kim
Yoonjin Yoon
AI4TS
26
9
0
18 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Jun Xia
Yanqiao Zhu
Yuanqi Du
Stan Z. Li
VLM
30
41
0
16 Feb 2022
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning
  over Temporal Knowledge Graphs
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
Namyong Park
Fuchen Liu
Purvanshi Mehta
D. Cristofor
Christos Faloutsos
Yuxiao Dong
24
85
0
15 Feb 2022
Deep learning for drug repurposing: methods, databases, and applications
Deep learning for drug repurposing: methods, databases, and applications
Xiao Pan
Xuan Lin
Dongsheng Cao
Xiangxiang Zeng
Philip S. Yu
Lifang He
R. Nussinov
F. Cheng
33
127
0
08 Feb 2022
Bandit Sampling for Multiplex Networks
Bandit Sampling for Multiplex Networks
Cenk Baykal
Vamsi K. Potluru
Sameena Shah
Manuela Veloso
11
2
0
08 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion
MarkovGNN: Graph Neural Networks on Markov Diffusion
Md. Khaledur Rahman
Abhigya Agrawal
A. Azad
GNN
BDL
29
2
0
05 Feb 2022
Joint Learning of Hierarchical Community Structure and Node
  Representations: An Unsupervised Approach
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach
A. Tom
Nesreen Ahmed
George Karypis
22
1
0
22 Jan 2022
Toward Enhanced Robustness in Unsupervised Graph Representation
  Learning: A Graph Information Bottleneck Perspective
Toward Enhanced Robustness in Unsupervised Graph Representation Learning: A Graph Information Bottleneck Perspective
Jihong Wang
Minnan Luo
Jundong Li
Ziqi Liu
Jun Zhou
Qinghua Zheng
AAML
23
5
0
21 Jan 2022
Representation Learning on Heterostructures via Heterogeneous Anonymous
  Walks
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks
X. Guo
Pengfei Jiao
Ting Pan
Wang Zhang
Mengyu Jia
Danyang Shi
Wenjun Wang
27
1
0
18 Jan 2022
Structure Enhanced Graph Neural Networks for Link Prediction
Structure Enhanced Graph Neural Networks for Link Prediction
Baole Ai
Zhou Qin
Wen Shen
Yong Li
24
7
0
14 Jan 2022
Asymptotics of $\ell_2$ Regularized Network Embeddings
Asymptotics of ℓ2\ell_2ℓ2​ Regularized Network Embeddings
A. Davison
33
0
0
05 Jan 2022
Deformable Graph Convolutional Networks
Deformable Graph Convolutional Networks
Jinyoung Park
Sungdong Yoo
Jihwan Park
Hyunwoo J. Kim
GNN
30
13
0
29 Dec 2021
Multilayer Graph Contrastive Clustering Network
Multilayer Graph Contrastive Clustering Network
Liang Liu
Zhao Kang
Ling Tian
Wenbo Xu
Xixu He
13
15
0
28 Dec 2021
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual
  Hierarchical Attention Networks
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks
Yu Zhao
Shaopeng Wei
Huaming Du
Xingyan Chen
Qing Li
Fuzhen Zhuang
Jiaheng Liu
Gang Kou
41
10
0
24 Dec 2021
Self-Supervised Dynamic Graph Representation Learning via Temporal
  Subgraph Contrast
Self-Supervised Dynamic Graph Representation Learning via Temporal Subgraph Contrast
Linpu Jiang
Ke-Jia Chen
Jingqiang Chen
SSL
29
10
0
16 Dec 2021
Survey of Generative Methods for Social Media Analysis
Survey of Generative Methods for Social Media Analysis
Stan Matwin
Aristides Milios
P. Prałat
Amilcar Soares
Franccois Théberge
27
3
0
13 Dec 2021
Using Image Transformations to Learn Network Structure
Using Image Transformations to Learn Network Structure
Brayan Ortiz
Amitabh Sinha
OffRL
27
0
0
06 Dec 2021
Pairwise Learning for Neural Link Prediction
Pairwise Learning for Neural Link Prediction
Zhitao Wang
Yong Zhou
L. Jeff Hong
Yuanhang Zou
Hanjing Su
Shouzhi Chen
20
26
0
06 Dec 2021
Learning Large-scale Network Embedding from Representative Subgraph
Learning Large-scale Network Embedding from Representative Subgraph
Junsheng Kong
Weizhao Li
Ben Liao
J. Qiu
Chang-Yu Hsieh
Hsieh
Yijin Cai
Jin-Hui Zhu
Shengyu Zhang
GNN
21
1
0
02 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link
  Information
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
Zhiling Wang
Shimin Di
Lei Chen
GNN
AI4CE
22
39
0
02 Dec 2021
A Review on Graph Neural Network Methods in Financial Applications
A Review on Graph Neural Network Methods in Financial Applications
Jianian Wang
Shenmin Zhang
Yanghua Xiao
Rui Song
AI4TS
34
104
0
27 Nov 2021
Reinforcement Learning based Path Exploration for Sequential Explainable
  Recommendation
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Yicong Li
Hongxu Chen
Yile Li
Lin Li
Philip S. Yu
Guandong Xu
23
15
0
24 Nov 2021
Towards Improving Embedding Based Models of Social Network Alignment via
  Pseudo Anchors
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
Zihan Yan
Li Liu
Xin Li
William K. Cheung
Youmin Zhang
Qun Liu
Guoyin Wang
24
7
0
22 Nov 2021
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Amur Ghose
Vincent Zhang
Yingxue Zhang
Dong Li
Wulong Liu
Mark Coates
48
27
0
10 Nov 2021
High-order joint embedding for multi-level link prediction
High-order joint embedding for multi-level link prediction
Yubai Yuan
Annie Qu
11
2
0
07 Nov 2021
Community detection using low-dimensional network embedding algorithms
Community detection using low-dimensional network embedding algorithms
Aman Barot
S. Bhamidi
Souvik Dhara
20
8
0
04 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
27
3
0
29 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination
  Therapy
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
Benedek Rozemberczki
A. Gogleva
S. Nilsson
G. Edwards
A. Nikolov
Eliseo Papa
GNN
23
19
0
28 Oct 2021
Graph Communal Contrastive Learning
Graph Communal Contrastive Learning
Bolian Li
Baoyu Jing
Hanghang Tong
33
57
0
28 Oct 2021
Node-wise Localization of Graph Neural Networks
Node-wise Localization of Graph Neural Networks
Zemin Liu
Yuan Fang
Chenghao Liu
Guosheng Lin
27
25
0
27 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding
A Broader Picture of Random-walk Based Graph Embedding
Zexi Huang
A. Silva
Ambuj K. Singh
21
49
0
24 Oct 2021
Multi-view Contrastive Graph Clustering
Multi-view Contrastive Graph Clustering
Erlin Pan
Zhao Kang
21
189
0
22 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis
Carlos Lassance
Jon Almazán
Diane Larlus
SSL
29
10
0
18 Oct 2021
Scalable Graph Embedding LearningOn A Single GPU
Azita Nouri
Philip E. Davis
P. Subedi
M. Parashar
GNN
36
1
0
13 Oct 2021
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