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Consistency of spectral clustering in stochastic block models
v1v2v3 (latest)

Consistency of spectral clustering in stochastic block models

7 December 2013
Jing Lei
Alessandro Rinaldo
ArXiv (abs)PDFHTML

Papers citing "Consistency of spectral clustering in stochastic block models"

50 / 313 papers shown
Title
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
Fitting Low-rank Models on Egocentrically Sampled Partial NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
G. Chan
Tianxi Li
EgoV
132
1
0
09 Mar 2023
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models
Efficient and Accurate Learning of Mixtures of Plackett-Luce ModelsAAAI Conference on Artificial Intelligence (AAAI), 2023
Duc Nguyen
A. Zhang
149
7
0
10 Feb 2023
Consistent model selection for the Degree Corrected Stochastic
  Blockmodel
Consistent model selection for the Degree Corrected Stochastic BlockmodelLatin American Journal of Probability and Mathematical Statistics (ALEA), 2023
Andressa Cerqueira
S. Gallo
Florencia Leonardi
C. Vera
134
2
0
07 Feb 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block ModelsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
An Zhang
225
7
0
23 Jan 2023
Bipartite mixed membership distribution-free model. A novel model for
  community detection in overlapping bipartite weighted networks
Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networksExpert systems with applications (ESWA), 2022
Huan Qing
Jingli Wang
219
11
0
02 Nov 2022
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals
SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals
Jianqing Fan
Yingying Fan
Jinchi Lv
Fan Yang
215
4
0
31 Oct 2022
Scalable Spectral Clustering with Group Fairness Constraints
Scalable Spectral Clustering with Group Fairness ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ji Wang
Ding Lu
Ian Davidson
Z. Bai
237
29
0
28 Oct 2022
Factorized Fusion Shrinkage for Dynamic Relational Data
Factorized Fusion Shrinkage for Dynamic Relational Data
Penghui Zhao
A. Bhattacharya
D. Pati
Bani Mallick
274
0
0
30 Sep 2022
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block
  Model
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
Tianxi Cai
Dong Xia
Luwan Zhang
D. Zhou
152
1
0
28 Sep 2022
From Local to Global: Spectral-Inspired Graph Neural Networks
From Local to Global: Spectral-Inspired Graph Neural Networks
Ningyuan Huang
Soledad Villar
Carey E. Priebe
Da Zheng
Cheng-Fu Huang
Lin F. Yang
Vladimir Braverman
208
16
0
24 Sep 2022
Community Detection in the Hypergraph SBM: Exact Recovery Given the
  Similarity Matrix
Community Detection in the Hypergraph SBM: Exact Recovery Given the Similarity Matrix
Julia Gaudio
Nirmit Joshi
189
5
0
23 Aug 2022
Lost in the Shuffle: Testing Power in the Presence of Errorful Network
  Vertex Labels
Lost in the Shuffle: Testing Power in the Presence of Errorful Network Vertex LabelsComputational Statistics & Data Analysis (CSDA), 2022
Ayushi R. Saxena
V. Lyzinski
314
1
0
18 Aug 2022
Concentration inequalities for correlated network-valued processes with
  applications to community estimation and changepoint analysis
Concentration inequalities for correlated network-valued processes with applications to community estimation and changepoint analysis
Sayak Chatterjee
Sabyasachi Chatterjee
Soumendu Sundar Mukherjee
Anirban Nath
Sharmodeep Bhattacharyya
157
1
0
02 Aug 2022
Signed Network Embedding with Application to Simultaneous Detection of
  Communities and Anomalies
Signed Network Embedding with Application to Simultaneous Detection of Communities and Anomalies
H. Zhang
Junhui Wang
158
1
0
08 Jul 2022
Statistical inference of random graphs with a surrogate likelihood
  function
Statistical inference of random graphs with a surrogate likelihood function
Dingbo Wu
Fangzheng Xie
167
2
0
04 Jul 2022
Community Recovery in the Geometric Block Model
Community Recovery in the Geometric Block ModelJournal of machine learning research (JMLR), 2022
Sainyam Galhotra
A. Mazumdar
S. Pal
B. Saha
118
8
0
22 Jun 2022
Variational Estimators of the Degree-corrected Latent Block Model for
  Bipartite Networks
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite NetworksJournal of machine learning research (JMLR), 2022
Yunpeng Zhao
Ning Hao
Ji Zhu
153
4
0
16 Jun 2022
Sparse Subspace Clustering in Diverse Multiplex Network Model
Sparse Subspace Clustering in Diverse Multiplex Network ModelJournal of Multivariate Analysis (J. Multivar. Anal.), 2022
M. Noroozi
Marianna Pensky
164
11
0
15 Jun 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for
  Subspace Clustering
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace ClusteringInternational Conference on Machine Learning (ICML), 2022
Peng Wang
Huikang Liu
Anthony Man-Cho So
Laura Balzano
198
12
0
11 Jun 2022
Leave-one-out Singular Subspace Perturbation Analysis for Spectral
  Clustering
Leave-one-out Singular Subspace Perturbation Analysis for Spectral ClusteringAnnals of Statistics (Ann. Stat.), 2022
A. Zhang
Harrison H. Zhou
110
18
0
30 May 2022
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power
  Method
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power MethodInformation and Inference A Journal of the IMA (JIII), 2022
Guillaume Braun
Hemant Tyagi
183
6
0
24 May 2022
Perfect Spectral Clustering with Discrete Covariates
Perfect Spectral Clustering with Discrete CovariatesStatistica sinica (SS), 2022
J. Hehir
Xiaoyue Niu
Aleksandra B. Slavkovic
122
0
0
17 May 2022
Mode Reduction for Markov Jump Systems
Mode Reduction for Markov Jump Systems
Zhe Du
Laura Balzano
N. Ozay
123
0
0
05 May 2022
The Multivariate Community Hawkes Model for Dependent Relational Events
  in Continuous-time Networks
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time NetworksInternational Conference on Machine Learning (ICML), 2022
Hadeel Soliman
Lingfei Zhao
Zhipeng Huang
Subhadeep Paul
Kevin S. Xu
139
9
0
02 May 2022
Nonbacktracking spectral clustering of nonuniform hypergraphs
Nonbacktracking spectral clustering of nonuniform hypergraphsSIAM Journal on Mathematics of Data Science (SIMODS), 2022
Philip S. Chodrow
Nicole Eikmeier
Jamie Haddock
175
22
0
27 Apr 2022
Optimal Network Membership Estimation Under Severe Degree Heterogeneity
Optimal Network Membership Estimation Under Severe Degree HeterogeneityJournal of the American Statistical Association (JASA), 2022
Z. Ke
Jingming Wang
95
10
0
26 Apr 2022
Information-theoretic Limits for Testing Community Structures in
  Weighted Networks
Information-theoretic Limits for Testing Community Structures in Weighted Networks
Mingao Yuan
Zuofeng Shang
81
1
0
19 Apr 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised
  Domain Adaptation
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain AdaptationInternational Conference on Machine Learning (ICML), 2022
Kendrick Shen
Robbie Jones
Ananya Kumar
Sang Michael Xie
Jeff Z. HaoChen
Tengyu Ma
Abigail Z. Jacobs
SSL
169
93
0
01 Apr 2022
Identifying Peer Influence in Therapeutic Communities Adjusting for
  Latent Homophily
Identifying Peer Influence in Therapeutic Communities Adjusting for Latent HomophilyAnnals of Applied Statistics (AOAS), 2022
Shanjukta Nath
K. Warren
Subhadeep Paul
260
2
0
27 Mar 2022
Sparse random hypergraphs: Non-backtracking spectra and community
  detection
Sparse random hypergraphs: Non-backtracking spectra and community detectionIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2022
Ludovic Stephan
Yizhe Zhu
188
27
0
14 Mar 2022
Distributed Community Detection in Large Networks
Distributed Community Detection in Large Networks
Shenmin Zhang
R. Song
Wenbin Lu
Ji Zhu
103
5
0
12 Mar 2022
False membership rate control in mixture models
False membership rate control in mixture models
Ariane Marandon
Tabea Rebafka
Étienne Roquain
Nataliya Sokolovska
223
0
0
04 Mar 2022
On consistency of constrained spectral clustering under
  representation-aware stochastic block model
On consistency of constrained spectral clustering under representation-aware stochastic block model
Shubham Gupta
Ambedkar Dukkipati
202
1
0
03 Mar 2022
Exact Community Recovery over Signed Graphs
Exact Community Recovery over Signed GraphsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Xiaolu Wang
Peng Wang
Anthony Man-Cho So
152
6
0
22 Feb 2022
Differentially Private Community Detection for Stochastic Block Models
Differentially Private Community Detection for Stochastic Block ModelsInternational Conference on Machine Learning (ICML), 2022
Mohamed Seif
Dung Nguyen
A. Vullikanti
Ravi Tandon
155
22
0
31 Jan 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of
  Graph Convolutional Networks
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2022
Yuhang Yao
Weizhao Jin
Yu Yang
Carlee Joe-Wong
GNNFedML
202
38
0
28 Jan 2022
Entropic Optimal Transport in Random Graphs
Entropic Optimal Transport in Random Graphs
Nicolas Keriven
OT
129
5
0
11 Jan 2022
Asymptotics of $\ell_2$ Regularized Network Embeddings
Asymptotics of ℓ2\ell_2ℓ2​ Regularized Network Embeddings
A. Davison
213
0
0
05 Jan 2022
Matrix Completion with Hierarchical Graph Side Information
Matrix Completion with Hierarchical Graph Side InformationNeural Information Processing Systems (NeurIPS), 2022
Adel M. Elmahdy
Junhyung Ahn
Changho Suh
S. Mohajer
170
15
0
02 Jan 2022
Partial recovery and weak consistency in the non-uniform hypergraph
  Stochastic Block Model
Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block ModelCombinatorics, probability & computing (CPC), 2021
Ioana Dumitriu
Haixiao Wang
Yizhe Zhu
152
12
0
22 Dec 2021
Mixed membership distribution-free model
Mixed membership distribution-free modelKnowledge and Information Systems (KAIS), 2021
Huan Qing
Jingli Wang
228
6
0
04 Dec 2021
Spectral learning of multivariate extremes
Spectral learning of multivariate extremesJournal of machine learning research (JMLR), 2021
Marco Avella-Medina
Richard A. Davis
G. Samorodnitsky
115
7
0
15 Nov 2021
Community detection in censored hypergraph
Community detection in censored hypergraphStatistica sinica (SS), 2021
Mingao Yuan
Bin Zhao
Xiaofeng Zhao
141
2
0
04 Nov 2021
Community detection using low-dimensional network embedding algorithms
Community detection using low-dimensional network embedding algorithms
Aman Barot
S. Bhamidi
Souvik Dhara
131
8
0
04 Nov 2021
Overlapping and nonoverlapping models
Overlapping and nonoverlapping models
Huan Qing
141
0
0
02 Nov 2021
Residual2Vec: Debiasing graph embedding with random graphs
Residual2Vec: Debiasing graph embedding with random graphs
Sadamori Kojaku
Jisung Yoon
I. Constantino
Yong-Yeol Ahn
CML
133
24
0
14 Oct 2021
On the Stability of Low Pass Graph Filter With a Large Number of Edge
  Rewires
On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires
Hoang-Son Nguyen
Yiran He
Hoi-To Wai
133
9
0
14 Oct 2021
A useful criterion on studying consistent estimation in community
  detection
A useful criterion on studying consistent estimation in community detection
Huan Qing
169
9
0
30 Sep 2021
Optimal Orthogonal Group Synchronization and Rotation Group
  Synchronization
Optimal Orthogonal Group Synchronization and Rotation Group Synchronization
Chao Gao
A. Zhang
220
12
0
28 Sep 2021
Community detection for weighted bipartite networks
Community detection for weighted bipartite networks
Huan Qing
Jingli Wang
287
16
0
21 Sep 2021
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