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On spectral embedding performance and elucidating network structure in
  stochastic block model graphs

On spectral embedding performance and elucidating network structure in stochastic block model graphs

14 August 2018
Joshua Cape
M. Tang
Carey E. Priebe
ArXivPDFHTML

Papers citing "On spectral embedding performance and elucidating network structure in stochastic block model graphs"

7 / 7 papers shown
Title
Fundamental Limits of Spectral Clustering in Stochastic Block Models
Fundamental Limits of Spectral Clustering in Stochastic Block Models
An Zhang
44
4
0
23 Jan 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
29
5
0
06 Nov 2022
Overlapping community detection in networks via sparse spectral
  decomposition
Overlapping community detection in networks via sparse spectral decomposition
Jesús Arroyo
Elizaveta Levina
20
4
0
20 Sep 2020
The multilayer random dot product graph
The multilayer random dot product graph
Andrew Jones
Patrick Rubin-Delanchy
19
35
0
20 Jul 2020
On Two Distinct Sources of Nonidentifiability in Latent Position Random
  Graph Models
On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models
Joshua Agterberg
M. Tang
Carey E. Priebe
CML
32
9
0
31 Mar 2020
On a 'Two Truths' Phenomenon in Spectral Graph Clustering
On a 'Two Truths' Phenomenon in Spectral Graph Clustering
Carey E. Priebe
Youngser Park
Joshua T. Vogelstein
John M. Conroy
V. Lyzinski
M. Tang
A. Athreya
Joshua Cape
Eric W. Bridgeford
23
71
0
23 Aug 2018
Analysis of spectral clustering algorithms for community detection: the
  general bipartite setting
Analysis of spectral clustering algorithms for community detection: the general bipartite setting
Zhixin Zhou
Arash A. Amini
19
95
0
12 Mar 2018
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