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Matrix factorisation and the interpretation of geodesic distance

Matrix factorisation and the interpretation of geodesic distance

2 June 2021
N. Whiteley
Annie Gray
Patrick Rubin-Delanchy
ArXivPDFHTML

Papers citing "Matrix factorisation and the interpretation of geodesic distance"

4 / 4 papers shown
Title
Implications of sparsity and high triangle density for graph
  representation learning
Implications of sparsity and high triangle density for graph representation learning
Hannah Sansford
Alexander Modell
N. Whiteley
Patrick Rubin-Delanchy
30
1
0
27 Oct 2022
Spectral clustering under degree heterogeneity: a case for the random
  walk Laplacian
Spectral clustering under degree heterogeneity: a case for the random walk Laplacian
Alexander Modell
Patrick Rubin-Delanchy
27
9
0
03 May 2021
A statistical interpretation of spectral embedding: the generalised
  random dot product graph
A statistical interpretation of spectral embedding: the generalised random dot product graph
Patrick Rubin-Delanchy
Joshua Cape
M. Tang
Carey E. Priebe
18
128
0
16 Sep 2017
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
73
220
0
04 Jul 2012
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