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Simultaneous Dimensionality and Complexity Model Selection for Spectral
  Graph Clustering
v1v2v3v4 (latest)

Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering

5 April 2019
Congyuan Yang
Carey E. Priebe
Youngser Park
D. Marchette
ArXiv (abs)PDFHTML

Papers citing "Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering"

12 / 12 papers shown
Title
Estimating the number of clusters of a Block Markov Chain
Estimating the number of clusters of a Block Markov Chain
T. Vuren
Thomas Cronk
Jaron Sanders
101
0
0
25 Jul 2024
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster
  Analysis and Inference
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference
Joshua Agterberg
Joshua Cape
71
1
0
10 May 2023
Latent structure blockmodels for Bayesian spectral graph clustering
Latent structure blockmodels for Bayesian spectral graph clustering
Francesco Sanna Passino
N. Heard
62
1
0
04 Jul 2021
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with
  Heteroskedasticity and Dependence
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence
Joshua Agterberg
Zachary Lubberts
Carey Priebe
99
21
0
27 May 2021
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic
  Programming
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming
D. Wu
David R Palmer
Daryl R. DeFord
25
1
0
06 Jan 2021
Spectral clustering on spherical coordinates under the degree-corrected
  stochastic blockmodel
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Francesco Sanna Passino
N. Heard
Patrick Rubin-Delanchy
66
14
0
09 Nov 2020
An empirical Bayes Approach to stochastic blockmodels and graphons:
  shrinkage estimation and model selection
An empirical Bayes Approach to stochastic blockmodels and graphons: shrinkage estimation and model selection
Zhanhao Peng
Qing Zhou
25
0
0
12 Jun 2020
Manifold structure in graph embeddings
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
75
25
0
09 Jun 2020
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Hai Zhang
Xiao Guo
Xiangyu Chang
115
24
0
20 Jan 2020
Spectral embedding of weighted graphs
Spectral embedding of weighted graphs
Ian Gallagher
Andrew Jones
A. Bertiger
Carey Priebe
Patrick Rubin-Delanchy
57
16
0
12 Oct 2019
Bayesian estimation of the latent dimension and communities in
  stochastic blockmodels
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
Francesco Sanna Passino
N. Heard
BDL
51
25
0
06 Apr 2019
Vertex nomination: The canonical sampling and the extended spectral
  nomination schemes
Vertex nomination: The canonical sampling and the extended spectral nomination schemes
J. Yoder
Li-Wei Chen
H. Pao
Eric W. Bridgeford
Keith D. Levin
D. E. Fishkind
Carey Priebe
V. Lyzinski
62
18
0
14 Feb 2018
1