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Community detection in sparse networks via Grothendieck's inequality
v1v2v3v4 (latest)

Community detection in sparse networks via Grothendieck's inequality

17 November 2014
O. Guédon
Roman Vershynin
ArXiv (abs)PDFHTML

Papers citing "Community detection in sparse networks via Grothendieck's inequality"

23 / 73 papers shown
Title
Community detection with nodal information
Community detection with nodal information
Haolei Weng
Yang Feng
60
32
0
31 Oct 2016
Message-passing algorithms for synchronization problems over compact
  groups
Message-passing algorithms for synchronization problems over compact groups
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
108
86
0
14 Oct 2016
The Projected Power Method: An Efficient Algorithm for Joint Alignment
  from Pairwise Differences
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences
Yuxin Chen
Emmanuel Candes
321
93
0
19 Sep 2016
Covariate Regularized Community Detection in Sparse Graphs
Covariate Regularized Community Detection in Sparse Graphs
Bowei Yan
Purnamrita Sarkar
70
55
0
10 Jul 2016
A Semi-Definite Programming approach to low dimensional embedding for
  unsupervised clustering
A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering
Stéphane Chrétien
Clément Dombry
A. Faivre
92
10
0
29 Jun 2016
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
92
20
0
30 Mar 2016
Reconstructing undirected graphs from eigenspaces
Reconstructing undirected graphs from eigenspaces
Yohann De Castro
T. Espinasse
Paul Rochet
80
8
0
26 Mar 2016
Partial Recovery Bounds for the Sparse Stochastic Block Model
Partial Recovery Bounds for the Sparse Stochastic Block Model
Jonathan Scarlett
Volkan Cevher
35
2
0
02 Feb 2016
Detection in the stochastic block model with multiple clusters: proof of
  the achievability conjectures, acyclic BP, and the information-computation
  gap
Detection in the stochastic block model with multiple clusters: proof of the achievability conjectures, acyclic BP, and the information-computation gap
Emmanuel Abbe
Colin Sandon
179
120
0
30 Dec 2015
Convexified Modularity Maximization for Degree-corrected Stochastic
  Block Models
Convexified Modularity Maximization for Degree-corrected Stochastic Block Models
Yudong Chen
Xiaodong Li
Jiaming Xu
132
115
0
28 Dec 2015
Analysis of Testing-Based Forward Model Selection
Analysis of Testing-Based Forward Model Selection
Damian Kozbur
119
9
0
08 Dec 2015
Learning Communities in the Presence of Errors
Learning Communities in the Presence of Errors
K. Makarychev
Yury Makarychev
Aravindan Vijayaraghavan
157
33
0
10 Nov 2015
How Robust are Reconstruction Thresholds for Community Detection?
How Robust are Reconstruction Thresholds for Community Detection?
Ankur Moitra
William Perry
Alexander S. Wein
144
83
0
04 Nov 2015
Estimating network edge probabilities by neighborhood smoothing
Estimating network edge probabilities by neighborhood smoothing
Yuan Zhang
Elizaveta Levina
Ji Zhu
223
122
0
29 Sep 2015
Local Algorithms for Block Models with Side Information
Local Algorithms for Block Models with Side Information
Elchanan Mossel
Jiaming Xu
95
49
0
10 Aug 2015
Asymptotic Mutual Information for the Two-Groups Stochastic Block Model
Asymptotic Mutual Information for the Two-Groups Stochastic Block Model
Y. Deshpande
Emmanuel Abbe
Andrea Montanari
145
56
0
30 Jul 2015
A semidefinite program for unbalanced multisection in the stochastic
  block model
A semidefinite program for unbalanced multisection in the stochastic block model
William Perry
Alexander S. Wein
189
50
0
20 Jul 2015
Recovering communities in the general stochastic block model without
  knowing the parameters
Recovering communities in the general stochastic block model without knowing the parameters
Emmanuel Abbe
Colin Sandon
142
92
0
11 Jun 2015
Concentration and regularization of random graphs
Concentration and regularization of random graphs
Can M. Le
Elizaveta Levina
Roman Vershynin
143
154
0
01 Jun 2015
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming:
  Extensions
Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions
Bruce Hajek
Yihong Wu
Jiaming Xu
380
137
0
26 Feb 2015
Reconstruction in the Labeled Stochastic Block Model
Reconstruction in the Labeled Stochastic Block Model
Marc Lelarge
Laurent Massoulié
Jiaming Xu
156
39
0
11 Feb 2015
Sparse random graphs: regularization and concentration of the Laplacian
Sparse random graphs: regularization and concentration of the Laplacian
Can M. Le
Elizaveta Levina
Roman Vershynin
204
56
0
10 Feb 2015
On semidefinite relaxations for the block model
On semidefinite relaxations for the block model
Arash A. Amini
Elizaveta Levina
192
165
0
21 Jun 2014
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