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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"

3 / 3 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
25
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
22
9
0
03 May 2021
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
71
220
0
04 Jul 2012
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