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Spectral redemption: clustering sparse networks
v1v2 (latest)

Spectral redemption: clustering sparse networks

Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2013
24 June 2013
Florent Krzakala
Cristopher Moore
Elchanan Mossel
Joe Neeman
Allan Sly
Lenka Zdeborová
Pan Zhang
ArXiv (abs)PDFHTML

Papers citing "Spectral redemption: clustering sparse networks"

22 / 172 papers shown
Title
A spectral method for community detection in moderately-sparse
  degree-corrected stochastic block models
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models
Lennart Gulikers
Marc Lelarge
Laurent Massoulié
248
63
0
29 Jun 2015
Detectability thresholds and optimal algorithms for community structure
  in dynamic networks
Detectability thresholds and optimal algorithms for community structure in dynamic networks
Amir Ghasemian
Pan Zhang
A. Clauset
Cristopher Moore
Leto Peel
241
119
0
19 Jun 2015
A Spectral Algorithm with Additive Clustering for the Recovery of
  Overlapping Communities in Networks
A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in NetworksInternational Conference on Algorithmic Learning Theory (ALT), 2015
E. Kaufmann
Thomas Bonald
Marc Lelarge
140
26
0
12 Jun 2015
Matrix Completion from Fewer Entries: Spectral Detectability and Rank
  Estimation
Matrix Completion from Fewer Entries: Spectral Detectability and Rank EstimationNeural Information Processing Systems (NeurIPS), 2015
Alaa Saade
Florent Krzakala
Lenka Zdeborová
160
16
0
10 Jun 2015
Consistency of Spectral Hypergraph Partitioning under Planted Partition
  Model
Consistency of Spectral Hypergraph Partitioning under Planted Partition Model
Debarghya Ghoshdastidar
Ambedkar Dukkipati
238
94
0
07 May 2015
Phase Transitions in Spectral Community Detection of Large Noisy
  Networks
Phase Transitions in Spectral Community Detection of Large Noisy NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015
Pin-Yu Chen
Alfred Hero
40
3
0
09 Apr 2015
Finding One Community in a Sparse Graph
Finding One Community in a Sparse Graph
Andrea Montanari
200
70
0
19 Feb 2015
The Linearization of Belief Propagation on Pairwise Markov Networks
The Linearization of Belief Propagation on Pairwise Markov Networks
Wolfgang Gatterbauer
71
2
0
17 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
274
56
0
10 Feb 2015
Spectral Detection in the Censored Block Model
Spectral Detection in the Censored Block Model
Alaa Saade
Florent Krzakala
Marc Lelarge
Lenka Zdeborová
196
50
0
31 Jan 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
151
81
0
15 Jan 2015
A goodness-of-fit test for stochastic block models
A goodness-of-fit test for stochastic block models
Jing Lei
217
195
0
16 Dec 2014
A Generic Sample Splitting Approach for Refined Community Recovery in
  Stochastic Block Models
A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models
Jing Lei
Lingxue Zhu
210
18
0
06 Nov 2014
Spectral Clustering of Graphs with the Bethe Hessian
Spectral Clustering of Graphs with the Bethe HessianNeural Information Processing Systems (NeurIPS), 2014
Alaa Saade
Florent Krzakala
Lenka Zdeborová
183
156
0
07 Jun 2014
Linear Programming Relaxations for Goldreich's Generators over
  Non-Binary Alphabets
Linear Programming Relaxations for Goldreich's Generators over Non-Binary Alphabets
R. Mori
Takeshi Koshiba
O. Watanabe
Masaki Yamamoto
59
0
0
02 Jun 2014
Robust and computationally feasible community detection in the presence
  of arbitrary outlier nodes
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
T. Tony Cai
Xiaodong Li
404
146
0
23 Apr 2014
Scalable detection of statistically significant communities and
  hierarchies, using message-passing for modularity
Scalable detection of statistically significant communities and hierarchies, using message-passing for modularityProceedings of the National Academy of Sciences of the United States of America (PNAS), 2014
Pan Zhang
Cristopher Moore
182
173
0
23 Mar 2014
Community Detection in Networks using Graph Distance
Community Detection in Networks using Graph Distance
Sharmodeep Bhattacharyya
Peter J. Bickel
GNN
164
33
0
16 Jan 2014
Network histograms and universality of blockmodel approximation
Network histograms and universality of blockmodel approximationProceedings of the National Academy of Sciences of the United States of America (PNAS), 2013
S. Olhede
P. Wolfe
211
154
0
18 Dec 2013
Consistency of spectral clustering in stochastic block models
Consistency of spectral clustering in stochastic block models
Jing Lei
Alessandro Rinaldo
451
630
0
07 Dec 2013
Joint modeling of multiple time series via the beta process with
  application to motion capture segmentation
Joint modeling of multiple time series via the beta process with application to motion capture segmentation
E. Fox
M. C. Hughes
Erik B. Sudderth
Sai Li
247
100
0
22 Aug 2013
Co-clustering for directed graphs: the Stochastic co-Blockmodel and
  spectral algorithm Di-Sim
Co-clustering for directed graphs: the Stochastic co-Blockmodel and spectral algorithm Di-Sim
Karl Rohe
Tai Qin
Bin Yu
238
37
0
10 Apr 2012
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