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Convexified Modularity Maximization for Degree-corrected Stochastic
  Block Models
v1v2 (latest)

Convexified Modularity Maximization for Degree-corrected Stochastic Block Models

28 December 2015
Yudong Chen
Xiaodong Li
Jiaming Xu
ArXiv (abs)PDFHTML

Papers citing "Convexified Modularity Maximization for Degree-corrected Stochastic Block Models"

35 / 35 papers shown
Title
Fitting networks with a cancellation trick
Jiashun Jin
Jingming Wang
124
0
0
23 Feb 2025
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Yucheng Liu
Xiaodong Li
240
0
0
08 Jun 2024
Community detection by spectral methods in multi-layer networks
Community detection by spectral methods in multi-layer networks
Huan Qing
147
3
0
19 Mar 2024
Graphon Estimation in bipartite graphs with observable edge labels and
  unobservable node labels
Graphon Estimation in bipartite graphs with observable edge labels and unobservable node labels
Etienne Donier-Meroz
A. Dalalyan
F. Kramarz
Philippe Choné
Xavier d'Haultfoeuille
49
3
0
07 Apr 2023
NISQ-ready community detection based on separation-node identification
NISQ-ready community detection based on separation-node identification
Jonas Stein
Dominik Ott
Jonas Nüßlein
David Bucher
Mirco Schoenfeld
Sebastian Feld
37
5
0
30 Dec 2022
A Worker-Task Specialization Model for Crowdsourcing: Efficient
  Inference and Fundamental Limits
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits
Doyeon Kim
Jeonghwa Lee
Hye Won Chung
106
3
0
19 Nov 2021
Consistent Spectral Clustering of Network Block Models under Local
  Differential Privacy
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy
J. Hehir
Aleksandra B. Slavkovic
Xiaoyue Niu
59
9
0
26 May 2021
Spectral clustering under degree heterogeneity: a case for the random
  walk Laplacian
Spectral clustering under degree heterogeneity: a case for the random walk Laplacian
Alexander Modell
Patrick Rubin-Delanchy
63
9
0
03 May 2021
SDP Achieves Exact Minimax Optimality in Phase Synchronization
SDP Achieves Exact Minimax Optimality in Phase Synchronization
Chao Gao
A. Zhang
92
8
0
07 Jan 2021
Directed mixed membership stochastic blockmodel
Directed mixed membership stochastic blockmodel
Huan Qing
Jingli Wang
70
6
0
07 Jan 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
Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse
  Matrix
Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse Matrix
Hu Qing
Jingli Wang
54
0
0
17 Dec 2020
Spectral clustering via adaptive layer aggregation for multi-layer
  networks
Spectral clustering via adaptive layer aggregation for multi-layer networks
Sihan Huang
Haolei Weng
Yang Feng
84
22
0
07 Dec 2020
An improved spectral clustering method for community detection under the
  degree-corrected stochastic blockmodel
An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel
Hu Qing
Jingli Wang
45
3
0
12 Nov 2020
Spectral clustering on spherical coordinates under the degree-corrected
  stochastic blockmodel
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Francesco Sanna Passino
N. Heard
Patrick Rubin-Delanchy
66
14
0
09 Nov 2020
Community Detection by Principal Components Clustering Methods
Community Detection by Principal Components Clustering Methods
Huan Qing
Jingli Wang
16
1
0
09 Nov 2020
Detecting Dynamic Community Structure in Functional Brain Networks
  Across Individuals: A Multilayer Approach
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach
C. Ting
S. Samdin
Meini Tang
H. Ombao
77
33
0
09 Apr 2020
Statistical guarantees for local graph clustering
Statistical guarantees for local graph clustering
Wooseok Ha
Kimon Fountoulakis
Michael W. Mahoney
65
10
0
11 Jun 2019
Clustering Degree-Corrected Stochastic Block Model with Outliers
Clustering Degree-Corrected Stochastic Block Model with Outliers
Xin-Yao Qian
Yudong Chen
Andreea Minca
61
1
0
07 Jun 2019
Minimax Rates in Network Analysis: Graphon Estimation, Community
  Detection and Hypothesis Testing
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing
Chao Gao
Zongming Ma
374
35
0
14 Nov 2018
Improvements on SCORE, Especially for Weak Signals
Improvements on SCORE, Especially for Weak Signals
Jiashun Jin
Z. Ke
Shengming Luo
47
23
0
14 Nov 2018
Convex Relaxation Methods for Community Detection
Convex Relaxation Methods for Community Detection
Xiaodong Li
Yudong Chen
Jiaming Xu
131
51
0
30 Sep 2018
Partial recovery bounds for clustering with the relaxed $K$means
Partial recovery bounds for clustering with the relaxed KKKmeans
Christophe Giraud
Nicolas Verzélen
268
60
0
19 Jul 2018
Pairwise Covariates-adjusted Block Model for Community Detection
Pairwise Covariates-adjusted Block Model for Community Detection
Sihan Huang
Jiajin Sun
Yang Feng
67
25
0
10 Jul 2018
Scalable and Robust Community Detection with Randomized Sketching
Scalable and Robust Community Detection with Randomized Sketching
M. Rahmani
Andre Beckus
Adel Karimian
George Atia
88
10
0
25 May 2018
Community Recovery in a Preferential Attachment Graph
Community Recovery in a Preferential Attachment Graph
Bruce Hajek
Suryanarayana Sankagiri
38
4
0
21 Jan 2018
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an
  Iteration Complexity Analysis
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis
Junyu Zhang
Shiqian Ma
Shuzhong Zhang
110
36
0
05 Oct 2017
Testing for Global Network Structure Using Small Subgraph Statistics
Testing for Global Network Structure Using Small Subgraph Statistics
Chao Gao
John D. Lafferty
142
47
0
02 Oct 2017
Weighted Message Passing and Minimum Energy Flow for Heterogeneous
  Stochastic Block Models with Side Information
Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information
T. Tony Cai
Tengyuan Liang
Alexander Rakhlin
66
9
0
12 Sep 2017
Provable Estimation of the Number of Blocks in Block Models
Provable Estimation of the Number of Blocks in Block Models
Bowei Yan
Purnamrita Sarkar
Xiuyuan Cheng
101
34
0
24 May 2017
Exponential error rates of SDP for block models: Beyond Grothendieck's
  inequality
Exponential error rates of SDP for block models: Beyond Grothendieck's inequality
Yingjie Fei
Yudong Chen
320
35
0
23 May 2017
Testing Degree Corrections in Stochastic Block Models
Testing Degree Corrections in Stochastic Block Models
Rajarshi Mukherjee
S. Sen
42
4
0
22 May 2017
Community detection with nodal information
Community detection with nodal information
Haolei Weng
Yang Feng
62
32
0
31 Oct 2016
Community Detection in Degree-Corrected Block Models
Community Detection in Degree-Corrected Block Models
Chao Gao
Zongming Ma
A. Zhang
Harrison H. Zhou
125
140
0
24 Jul 2016
Detecting Overlapping Communities in Networks Using Spectral Methods
Detecting Overlapping Communities in Networks Using Spectral Methods
Yuan Zhang
Elizaveta Levina
Ji Zhu
132
104
0
10 Dec 2014
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