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An iterative clustering algorithm for the Contextual Stochastic Block
  Model with optimality guarantees

An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees

20 December 2021
Guillaume Braun
Hemant Tyagi
C. Biernacki
ArXivPDFHTML

Papers citing "An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees"

7 / 7 papers shown
Title
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
Guillaume Braun
Masashi Sugiyama
35
0
0
29 Feb 2024
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic
  Block Model
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model
Maximilien Dreveton
F. S. Fernandes
D. R. Figueiredo
21
6
0
30 Oct 2023
Optimal Inference in Contextual Stochastic Block Models
Optimal Inference in Contextual Stochastic Block Models
O. Duranthon
L. Zdeborová
BDL
43
8
0
06 Jun 2023
High-dimensional Clustering onto Hamiltonian Cycle
High-dimensional Clustering onto Hamiltonian Cycle
Tianyi Huang
Sheng-Hsien Cheng
Stan Z. Li
Zhengjun Zhang
13
7
0
27 Apr 2023
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
25
5
0
24 May 2022
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
103
153
0
23 Jul 2018
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
40
92
0
19 Sep 2016
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