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Spectral inference for large Stochastic Blockmodels with nodal
  covariates
v1v2 (latest)

Spectral inference for large Stochastic Blockmodels with nodal covariates

18 August 2019
A. Mele
Lingxin Hao
Joshua Cape
Carey E. Priebe
ArXiv (abs)PDFHTML

Papers citing "Spectral inference for large Stochastic Blockmodels with nodal covariates"

6 / 6 papers shown
Title
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
73
7
0
30 Oct 2023
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs
Luana Ruiz
Ningyuan Huang
Soledad Villar
85
5
0
06 Nov 2022
Dynamic Network Sampling for Community Detection
Dynamic Network Sampling for Community Detection
Cong Mu
Youngser Park
Carey E. Priebe
62
3
0
29 Aug 2022
Perfect Spectral Clustering with Discrete Covariates
Perfect Spectral Clustering with Discrete Covariates
J. Hehir
Xiaoyue Niu
Aleksandra B. Slavkovic
77
0
0
17 May 2022
On spectral algorithms for community detection in stochastic blockmodel
  graphs with vertex covariates
On spectral algorithms for community detection in stochastic blockmodel graphs with vertex covariates
Cong Mu
A. Mele
Lingxin Hao
Joshua Cape
A. Athreya
Carey E. Priebe
59
11
0
04 Jul 2020
Efficient Estimation for Random Dot Product Graphs via a One-step
  Procedure
Efficient Estimation for Random Dot Product Graphs via a One-step Procedure
Fangzheng Xie
Yanxun Xu
72
21
0
10 Oct 2019
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