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Analysis of spectral clustering algorithms for community detection: the
  general bipartite setting
v1v2 (latest)

Analysis of spectral clustering algorithms for community detection: the general bipartite setting

12 March 2018
Zhixin Zhou
Arash A. Amini
ArXiv (abs)PDFHTML

Papers citing "Analysis of spectral clustering algorithms for community detection: the general bipartite setting"

35 / 35 papers shown
Title
Latent class analysis for multi-layer categorical data
Latent class analysis for multi-layer categorical data
Huan Qing
48
0
0
10 Aug 2024
Latent class analysis with weighted responses
Latent class analysis with weighted responses
Huan Qing
65
0
0
17 Oct 2023
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
47
3
0
07 Apr 2023
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block Models
An Zhang
71
5
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 networks
Huan Qing
Jingli Wang
69
9
0
02 Nov 2022
Extreme singular values of inhomogeneous sparse random rectangular
  matrices
Extreme singular values of inhomogeneous sparse random rectangular matrices
Ioana Dumitriu
Yizhe Zhu
98
8
0
25 Sep 2022
Leave-one-out Singular Subspace Perturbation Analysis for Spectral
  Clustering
Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering
A. Zhang
Harrison H. Zhou
42
15
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 Method
Guillaume Braun
Hemant Tyagi
77
5
0
24 May 2022
Learning Low-Dimensional Nonlinear Structures from High-Dimensional
  Noisy Data: An Integral Operator Approach
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach
Xiucai Ding
Rongkai Ma
95
9
0
28 Feb 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of
  Graph Convolutional Networks
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Yuhang Yao
Weizhao Jin
Yu Yang
Carlee Joe-Wong
GNNFedML
131
26
0
28 Jan 2022
A graph representation based on fluid diffusion model for data analysis:
  theoretical aspects and enhanced community detection
A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection
Andrea Marinoni
Christian Jutten
Mark Girolami
219
2
0
07 Dec 2021
Mixed membership distribution-free model
Mixed membership distribution-free model
Huan Qing
Jingli Wang
75
6
0
04 Dec 2021
Spectral learning of multivariate extremes
Spectral learning of multivariate extremes
Marco Avella-Medina
Richard A. Davis
G. Samorodnitsky
66
7
0
15 Nov 2021
Overlapping and nonoverlapping models
Overlapping and nonoverlapping models
Huan Qing
44
0
0
02 Nov 2021
A useful criterion on studying consistent estimation in community
  detection
A useful criterion on studying consistent estimation in community detection
Huan Qing
62
8
0
30 Sep 2021
Community detection for weighted bipartite networks
Community detection for weighted bipartite networks
Huan Qing
Jingli Wang
101
12
0
21 Sep 2021
Sparse Partial Least Squares for Coarse Noisy Graph Alignment
Sparse Partial Least Squares for Coarse Noisy Graph Alignment
Michael Weylandt
George Michailidis
T. Roddenberry
32
1
0
06 Apr 2021
A simpler spectral approach for clustering in directed networks
A simpler spectral approach for clustering in directed networks
Simon Coste
Ludovic Stephan
30
4
0
05 Feb 2021
Directed mixed membership stochastic blockmodel
Directed mixed membership stochastic blockmodel
Huan Qing
Jingli Wang
59
6
0
07 Jan 2021
Adjusted chi-square test for degree-corrected block models
Adjusted chi-square test for degree-corrected block models
Linfan Zhang
Arash A. Amini
58
6
0
30 Dec 2020
Exact Clustering in Tensor Block Model: Statistical Optimality and
  Computational Limit
Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit
Rungang Han
Yuetian Luo
Miaoyan Wang
Anru R. Zhang
122
39
0
18 Dec 2020
Biclustering and Boolean Matrix Factorization in Data Streams
Biclustering and Boolean Matrix Factorization in Data Streams
S. Neumann
Pauli Miettinen
50
6
0
05 Dec 2020
Recent Developments in Boolean Matrix Factorization
Recent Developments in Boolean Matrix Factorization
Pauli Miettinen
S. Neumann
50
38
0
05 Dec 2020
Regularized spectral methods for clustering signed networks
Regularized spectral methods for clustering signed networks
Ning Zhang
A. Singh
Déborah Sulem
Hemant Tyagi
71
19
0
03 Nov 2020
Extended Stochastic Block Models with Application to Criminal Networks
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
68
22
0
16 Jul 2020
Randomized spectral co-clustering for large-scale directed networks
Randomized spectral co-clustering for large-scale directed networks
Xiao Guo
Yixuan Qiu
Hai Zhang
Xiangyu Chang
51
14
0
25 Apr 2020
Strong Consistency, Graph Laplacians, and the Stochastic Block Model
Strong Consistency, Graph Laplacians, and the Stochastic Block Model
Shaofeng Deng
Shuyang Ling
Thomas Strohmer
42
29
0
21 Apr 2020
Graph matching between bipartite and unipartite networks: to collapse,
  or not to collapse, that is the question
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question
Jesús Arroyo
Carey E. Priebe
V. Lyzinski
51
2
0
05 Feb 2020
Sparse random tensors: Concentration, regularization and applications
Sparse random tensors: Concentration, regularization and applications
Zhixin Zhou
Yizhe Zhu
54
12
0
20 Nov 2019
Improved clustering algorithms for the Bipartite Stochastic Block Model
Improved clustering algorithms for the Bipartite Stochastic Block Model
M. Ndaoud
Suzanne Sigalla
Alexandre B. Tsybakov
64
20
0
18 Nov 2019
Optimality of Spectral Clustering in the Gaussian Mixture Model
Optimality of Spectral Clustering in the Gaussian Mixture Model
Matthias Löffler
A. Zhang
Harrison H. Zhou
122
86
0
01 Nov 2019
Concentration of kernel matrices with application to kernel spectral
  clustering
Concentration of kernel matrices with application to kernel spectral clustering
Arash A. Amini
Zahra S. Razaee
42
14
0
07 Sep 2019
Non-Asymptotic Chernoff Lower Bound and Its Application to Community
  Detection in Stochastic Block Model
Non-Asymptotic Chernoff Lower Bound and Its Application to Community Detection in Stochastic Block Model
Zhixin Zhou
Ping Li
102
7
0
29 Dec 2018
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
370
35
0
14 Nov 2018
Optimal Bipartite Network Clustering
Optimal Bipartite Network Clustering
Zhixin Zhou
Arash A. Amini
55
29
0
15 Mar 2018
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