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Scalable detection of statistically significant communities and
  hierarchies, using message-passing for modularity
v1v2v3 (latest)

Scalable detection of statistically significant communities and hierarchies, using message-passing for modularity

23 March 2014
Pan Zhang
Cristopher Moore
ArXiv (abs)PDFHTML

Papers citing "Scalable detection of statistically significant communities and hierarchies, using message-passing for modularity"

23 / 23 papers shown
Title
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph
  Neural Network Algorithms for Community Detection
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection
Samin Aref
Mahdi Mostajabdaveh
68
9
0
17 Oct 2023
Implicit models, latent compression, intrinsic biases, and cheap lunches
  in community detection
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection
Tiago P. Peixoto
Alec Kirkley
79
13
0
17 Oct 2022
Trading off Quality for Efficiency of Community Detection: An Inductive
  Method across Graphs
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs
Meng Qin
Chao Zhang
Bo Bai
Gong Zhang
Dit-Yan Yeung
63
2
0
29 Sep 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture
  Model
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
Maedeh Ahmadi
M. Safayani
Abdolreza Mirzaei
117
6
0
10 May 2022
Descriptive vs. inferential community detection in networks: pitfalls,
  myths, and half-truths
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths
Tiago P. Peixoto
122
47
0
30 Nov 2021
A Survey of Community Detection Approaches: From Statistical Modeling to
  Deep Learning
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning
Di Jin
Zhizhi Yu
Pengfei Jiao
Shirui Pan
Dongxiao He
Hongzhi Zhang
Philip S. Yu
Weixiong Zhang
GNN
184
287
0
03 Jan 2021
Hierarchical community structure in networks
Hierarchical community structure in networks
Michael T. Schaub
Jiaze Li
Leto Peel
64
20
0
15 Sep 2020
Statistical inference of assortative community structures
Statistical inference of assortative community structures
Lizhi Zhang
Tiago P. Peixoto
55
40
0
25 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
SIMPLE: Statistical Inference on Membership Profiles in Large Networks
SIMPLE: Statistical Inference on Membership Profiles in Large Networks
Jianqing Fan
Yingying Fan
Xiao Han
Jinchi Lv
82
43
0
03 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
Optimizing Generalized PageRank Methods for Seed-Expansion Community
  Detection
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
Pan Li
Eli Chien
O. Milenkovic
86
68
0
26 May 2019
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
Prioritizing network communities
Prioritizing network communities
Marinka Zitnik
R. Sosič
J. Leskovec
51
71
0
07 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
Fast Maximum Likelihood estimation via Equilibrium Expectation for Large
  Network Data
Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data
M. Byshkin
A. Stivala
Antonietta Mira
G. Robins
Alessandro Lomi
41
28
0
28 Feb 2018
Weighted Community Detection and Data Clustering Using Message Passing
Weighted Community Detection and Data Clustering Using Message Passing
Cheng Shi
Yanchen Liu
Pan Zhang
41
14
0
30 Jan 2018
Algorithmic detectability threshold of the stochastic block model
Algorithmic detectability threshold of the stochastic block model
T. Kawamoto
61
17
0
24 Oct 2017
Simplified Energy Landscape for Modularity Using Total Variation
Simplified Energy Landscape for Modularity Using Total Variation
Z. Boyd
Egil Bae
X. Tai
Andrea L. Bertozzi
14
21
0
28 Jul 2017
Element-centric clustering comparison unifies overlaps and hierarchy
Element-centric clustering comparison unifies overlaps and hierarchy
Alexander J. Gates
Ian B. Wood
W. Hetrick
Yong-Yeol Ahn
67
90
0
19 Jun 2017
Performance of a community detection algorithm based on semidefinite
  programming
Performance of a community detection algorithm based on semidefinite programming
Adel Javanmard
Andrea Montanari
F. Ricci-Tersenghi
94
20
0
30 Mar 2016
Statistical physics of inference: Thresholds and algorithms
Statistical physics of inference: Thresholds and algorithms
Lenka Zdeborová
Florent Krzakala
AI4CE
133
427
0
08 Nov 2015
Evaluating accuracy of community detection using the relative normalized
  mutual information
Evaluating accuracy of community detection using the relative normalized mutual information
Pan Zhang
63
73
0
15 Jan 2015
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