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Spectral clustering under degree heterogeneity: a case for the random
  walk Laplacian
v1v2 (latest)

Spectral clustering under degree heterogeneity: a case for the random walk Laplacian

3 May 2021
Alexander Modell
Patrick Rubin-Delanchy
ArXiv (abs)PDFHTML

Papers citing "Spectral clustering under degree heterogeneity: a case for the random walk Laplacian"

5 / 5 papers shown
Title
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
78
1
0
10 May 2023
Spectral embedding and the latent geometry of multipartite networks
Spectral embedding and the latent geometry of multipartite networks
Alexander Modell
Ian Gallagher
Joshua Cape
Patrick Rubin-Delanchy
50
1
0
08 Feb 2022
Latent structure blockmodels for Bayesian spectral graph clustering
Latent structure blockmodels for Bayesian spectral graph clustering
Francesco Sanna Passino
N. Heard
75
1
0
04 Jul 2021
Matrix factorisation and the interpretation of geodesic distance
Matrix factorisation and the interpretation of geodesic distance
N. Whiteley
Annie Gray
Patrick Rubin-Delanchy
87
10
0
02 Jun 2021
Exact Recovery of Community Structures Using DeepWalk and Node2vec
Exact Recovery of Community Structures Using DeepWalk and Node2vec
Yichi Zhang
M. Tang
55
2
0
18 Jan 2021
1