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Hierarchical structure and the prediction of missing links in networks

Hierarchical structure and the prediction of missing links in networks

4 November 2008
A. Clauset
Cristopher Moore
Mark E. J. Newman
ArXiv (abs)PDFHTML

Papers citing "Hierarchical structure and the prediction of missing links in networks"

50 / 156 papers shown
Title
Benchmarking Graph Neural Networks on Link Prediction
Benchmarking Graph Neural Networks on Link Prediction
Xing Wang
A. Vinel
GNN
25
13
0
24 Feb 2021
HSR: Hyperbolic Social Recommender
HSR: Hyperbolic Social Recommender
Anchen Li
Bo Yang
50
19
0
15 Feb 2021
Subgraph nomination: Query by Example Subgraph Retrieval in Networks
Subgraph nomination: Query by Example Subgraph Retrieval in Networks
Al-Fahad M. Al-Qadhi
Carey E. Priebe
Hayden S. Helm
V. Lyzinski
GNN
37
1
0
29 Jan 2021
Disentangling homophily, community structure and triadic closure in
  networks
Disentangling homophily, community structure and triadic closure in networks
Tiago P. Peixoto
74
38
0
07 Jan 2021
Machine learning dismantling and early-warning signals of disintegration
  in complex systems
Machine learning dismantling and early-warning signals of disintegration in complex systems
Marco Grassia
Manlio De Domenico
G. Mangioni
AAML
334
88
0
07 Jan 2021
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural
  Networks
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks
Jiawei Xue
Nan Jiang
Senwei Liang
Qiyuan Pang
Takahiro Yabe
S. Ukkusuri
Jianzhu Ma
66
28
0
01 Jan 2021
Link prediction in multiplex networks via triadic closure
Link prediction in multiplex networks via triadic closure
A. Aleta
Marta Tuninetti
D. Paolotti
Y. Moreno
Michele Starnini
AI4CE
26
22
0
16 Nov 2020
Occams Razor for Big Data? On Detecting Quality in Large Unstructured
  Datasets
Occams Razor for Big Data? On Detecting Quality in Large Unstructured Datasets
Birgitta Dresp-Langley
Ole Kristian Ekseth
Jan Fesl
S. Gohshi
Marc Kurz
Hans-Werner Sehring
29
17
0
12 Nov 2020
Co-embedding of Nodes and Edges with Graph Neural Networks
Co-embedding of Nodes and Edges with Graph Neural Networks
Xiaodong Jiang
Ronghang Zhu
Pengsheng Ji
Sheng Li
GNN
75
76
0
25 Oct 2020
Graph Geometry Interaction Learning
Graph Geometry Interaction Learning
Shichao Zhu
Shirui Pan
Chuan Zhou
Hongzhi Zhang
Yanan Cao
Bin Wang
128
93
0
23 Oct 2020
Hierarchical community structure in networks
Hierarchical community structure in networks
Michael T. Schaub
Jiaze Li
Leto Peel
64
20
0
15 Sep 2020
On the use of local structural properties for improving the efficiency
  of hierarchical community detection methods
On the use of local structural properties for improving the efficiency of hierarchical community detection methods
Julio-Omar Palacio-Niño
Fernando Berzal Galiano
8
1
0
15 Sep 2020
DINE: A Framework for Deep Incomplete Network Embedding
DINE: A Framework for Deep Incomplete Network Embedding
Ke Hou
Jiaying Liu
Yin Peng
Bo Xu
Ivan Lee
Xiwei Xu
37
3
0
09 Aug 2020
Network Diffusions via Neural Mean-Field Dynamics
Network Diffusions via Neural Mean-Field Dynamics
Shushan He
H. Zha
X. Ye
DiffM
56
6
0
16 Jun 2020
Faster MCMC for Gaussian Latent Position Network Models
Faster MCMC for Gaussian Latent Position Network Models
Neil A. Spencer
B. Junker
T. Sweet
BDL
70
6
0
13 Jun 2020
Scalable Top-k Query on Information Networks with Hierarchical
  Inheritance Relations
Scalable Top-k Query on Information Networks with Hierarchical Inheritance Relations
Fubao Wu
Lixin Gao
19
1
0
01 Jun 2020
Revealing consensus and dissensus between network partitions
Revealing consensus and dissensus between network partitions
Tiago P. Peixoto
86
41
0
28 May 2020
Consistency of Spectral Clustering on Hierarchical Stochastic Block
  Models
Consistency of Spectral Clustering on Hierarchical Stochastic Block Models
Lihua Lei
Xiaodong Li
Xingmei Lou
46
19
0
30 Apr 2020
Reliable Time Prediction in the Markov Stochastic Block Model
Reliable Time Prediction in the Markov Stochastic Block Model
Quentin Duchemin
52
2
0
09 Apr 2020
DSSLP: A Distributed Framework for Semi-supervised Link Prediction
DSSLP: A Distributed Framework for Semi-supervised Link Prediction
Dalong Zhang
Xianzheng Song
Ziqi Liu
Qing Cui
Xin Huang
Lin Wang
Jun Zhou
28
4
0
27 Feb 2020
ALPINE: Active Link Prediction using Network Embedding
ALPINE: Active Link Prediction using Network Embedding
Xi Chen
Bo Kang
Jefrey Lijffijt
T. D. Bie
52
3
0
04 Feb 2020
Hyperbolic Graph Attention Network
Hyperbolic Graph Attention Network
Yiding Zhang
Tianlin Li
Xunqiang Jiang
C. Shi
Yanfang Ye
GNN
88
133
0
06 Dec 2019
Hyperbolic Node Embedding for Signed Networks
Hyperbolic Node Embedding for Signed Networks
Wenzhuo Song
Hongxu Chen
Xueyan Liu
Hongzhe Jiang
Sheng-sheng Wang
41
14
0
29 Oct 2019
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural Networks
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
121
653
0
28 Oct 2019
Link Prediction via Graph Attention Network
Link Prediction via Graph Attention Network
Weiwei Gu
Fei Gao
Xiaodan Lou
Jiang Zhang
GNNHAI
47
14
0
10 Oct 2019
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Amir Ghasemian
Homa Hosseinmardi
Aram Galstyan
E. Airoldi
A. Clauset
85
133
0
17 Sep 2019
Publishing Community-Preserving Attributed Social Graphs with a
  Differential Privacy Guarantee
Publishing Community-Preserving Attributed Social Graphs with a Differential Privacy Guarantee
Xihui Chen
S. Mauw
Y. Ramírez-Cruz
50
25
0
31 Aug 2019
Reconstructing commuters network using machine learning and urban
  indicators
Reconstructing commuters network using machine learning and urban indicators
Gabriel Spadon
A. Carvalho
Jose F. Rodrigues-Jr
L. G. Alves
HAI
73
68
0
09 Aug 2019
Hyperlink Regression via Bregman Divergence
Hyperlink Regression via Bregman Divergence
Akifumi Okuno
Hidetoshi Shimodaira
79
6
0
22 Jul 2019
Automatic Discovery of Families of Network Generative Processes
Automatic Discovery of Families of Network Generative Processes
Telmo Menezes
Camille Roth
28
2
0
26 Jun 2019
Descriptive evaluation of students using fuzzy approximate reasoning
Descriptive evaluation of students using fuzzy approximate reasoning
Mohsen Annabestani
A. Rowhanimanesh
Aylar Mizani
Akram Rezaei
16
6
0
07 May 2019
Maximum Likelihood Estimation of Sparse Networks with Missing
  Observations
Maximum Likelihood Estimation of Sparse Networks with Missing Observations
Solenne Gaucher
Olga Klopp
71
14
0
27 Feb 2019
Continuous Hierarchical Representations with Poincaré Variational
  Auto-Encoders
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders
Emile Mathieu
Charline Le Lan
Chris J. Maddison
Ryota Tomioka
Yee Whye Teh
BDLDRL
80
178
0
17 Jan 2019
Link Prediction in Networks with Core-Fringe Data
Link Prediction in Networks with Core-Fringe Data
Austin R. Benson
Jon M. Kleinberg
61
16
0
28 Nov 2018
OrthoNet: Multilayer Network Data Clustering
OrthoNet: Multilayer Network Data Clustering
Mireille El Gheche
Giovanni Chierchia
P. Frossard
92
24
0
02 Nov 2018
Systematic Biases in Link Prediction: comparing heuristic and graph
  embedding based methods
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods
Aakash Sinha
Rémy Cazabet
Rémi Vaudaine
18
9
0
11 Oct 2018
Hierarchical community detection by recursive partitioning
Hierarchical community detection by recursive partitioning
Tianxi Li
Lihua Lei
Sharmodeep Bhattacharyya
Koen Van den Berge
Purnamrita Sarkar
Peter J. Bickel
Elizaveta Levina
104
79
0
02 Oct 2018
Error Detection in a Large-Scale Lexical Taxonomy
Error Detection in a Large-Scale Lexical Taxonomy
Sifan Liu
Hongzhi Wang
16
4
0
05 Aug 2018
Universality of the stochastic block model
Universality of the stochastic block model
Jean-Gabriel Young
G. St‐Onge
P. Desrosiers
Louis J. Dubé
73
31
0
11 Jun 2018
Reconstructing networks with unknown and heterogeneous errors
Reconstructing networks with unknown and heterogeneous errors
Tiago P. Peixoto
62
81
0
09 Jun 2018
Hierarchical Graph Clustering using Node Pair Sampling
Hierarchical Graph Clustering using Node Pair Sampling
Thomas Bonald
Bertrand Charpentier
Alexis Galland
Alexandre Hollocou
67
53
0
05 Jun 2018
Network Reconstruction and Controlling Based on Structural Regularity
  Analysis
Network Reconstruction and Controlling Based on Structural Regularity Analysis
Tao Wu
Shaojie Qiao
Xingping Xian
Xi-Zhao Wang
Wei Wang
Yan-bing Liu
15
1
0
20 May 2018
Evaluating Overfit and Underfit in Models of Network Community Structure
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian
Homa Hosseinmardi
A. Clauset
102
142
0
28 Feb 2018
Simplicial Closure and higher-order link prediction
Simplicial Closure and higher-order link prediction
Austin R. Benson
Rediet Abebe
Michael T. Schaub
Ali Jadbabaie
Jon M. Kleinberg
AI4CE
97
498
0
20 Feb 2018
No Silk Road for Online Gamers!: Using Social Network Analysis to Unveil
  Black Markets in Online Games
No Silk Road for Online Gamers!: Using Social Network Analysis to Unveil Black Markets in Online Games
Eunjo Lee
Jiyoung Woo
Hyoungshick Kim
H. Kim
49
28
0
19 Jan 2018
Predicting protein-protein interactions based on rotation of proteins in
  3D-space
Predicting protein-protein interactions based on rotation of proteins in 3D-space
Samaneh Aghajanbaglo
Sobhan Moosavi
M. Rahgozar
Amir Rahimi
12
2
0
22 Dec 2017
HSC: A Novel Method for Clustering Hierarchies of Networked Data
Antonia Korba
29
0
0
29 Nov 2017
Fast and reliable inference algorithm for hierarchical stochastic block
  models
Fast and reliable inference algorithm for hierarchical stochastic block models
Yongjin P. Park
J. Bader
TPM
16
2
0
14 Nov 2017
Generating global network structures by triad types
Generating global network structures by triad types
M. Cugmas
A. Ferligoj
A. Žiberna
141
7
0
27 Oct 2017
Bayesian stochastic blockmodeling
Bayesian stochastic blockmodeling
Tiago P. Peixoto
184
203
0
29 May 2017
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