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Rethinking the positive role of cluster structure in complex networks
  for link prediction tasks
v1v2 (latest)

Rethinking the positive role of cluster structure in complex networks for link prediction tasks

4 November 2022
Shan-Shan Zhang
Wenjiao Zhang
Zhan Bu
ArXiv (abs)PDFHTMLGithub (1★)

Papers citing "Rethinking the positive role of cluster structure in complex networks for link prediction tasks"

23 / 23 papers shown
Title
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation
  Learning
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
Wentao Zhang
Zeang Sheng
Mingyu Yang
Yang Li
Yu Shen
Zhi-Xin Yang
Tengjiao Wang
AAML
66
17
0
17 Jun 2022
Directed Graph Auto-Encoders
Directed Graph Auto-Encoders
Georgios Kollias
Vasileios Kalantzis
Tsuyoshi Idé
A. Lozano
Naoki Abe
BDLGNN
71
36
0
25 Feb 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and
  Link Prediction
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
116
53
0
02 Feb 2022
Memory-Associated Differential Learning
Memory-Associated Differential Learning
Yi Luo
Aiguo Chen
Bei Hui
Ke Yan
89
3
0
10 Feb 2021
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph
  Representation Learning
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning
Yanqiao Zhu
Yichen Xu
Feng Yu
Shu Wu
Liang Wang
SSLGNN
64
28
0
03 Sep 2020
Adversarial Directed Graph Embedding
Adversarial Directed Graph Embedding
Shijie Zhu
Jianxin Li
Hao Peng
Senzhang Wang
Lifang He
GANGNN
94
45
0
09 Aug 2020
Adaptive Graph Encoder for Attributed Graph Embedding
Adaptive Graph Encoder for Attributed Graph Embedding
Ganqu Cui
Jie Zhou
Cheng Yang
Zhiyuan Liu
149
221
0
03 Jul 2020
Variational Graph Recurrent Neural Networks
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali
Arman Hasanzadeh
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDLGNN
74
187
0
26 Aug 2019
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Attributed Graph Clustering: A Deep Attentional Embedding Approach
Chun Wang
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
68
517
0
15 Jun 2019
End to end learning and optimization on graphs
End to end learning and optimization on graphs
Bryan Wilder
Eric Ewing
B. Dilkina
Milind Tambe
GNN
86
107
0
31 May 2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction
Gravity-Inspired Graph Autoencoders for Directed Link Prediction
Guillaume Salha-Galvan
Stratis Limnios
Romain Hennequin
Viet-Anh Tran
Michalis Vazirgiannis
GNNCML
94
98
0
23 May 2019
Node Representation Learning for Directed Graphs
Node Representation Learning for Directed Graphs
Megha Khosla
Jurek Leonhardt
Wolfgang Nejdl
Avishek Anand
58
56
0
22 Oct 2018
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
121
1,945
0
27 Feb 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
GNNGAN
79
447
0
13 Feb 2018
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
159
3,598
0
21 Nov 2016
Variational Deep Embedding: An Unsupervised and Generative Approach to
  Clustering
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang
Yin Zheng
Huachun Tan
Bangsheng Tang
Hanning Zhou
BDLDRL
98
733
0
16 Nov 2016
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
92
878
0
15 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
693
29,220
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
200
10,934
0
03 Jul 2016
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
110
2,889
0
19 Nov 2015
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
144
5,343
0
12 Mar 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
277
9,816
0
26 Mar 2014
Hierarchical structure and the prediction of missing links in networks
Hierarchical structure and the prediction of missing links in networks
A. Clauset
Cristopher Moore
Mark E. J. Newman
107
2,077
0
04 Nov 2008
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