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Limit theorems for out-of-sample extensions of the adjacency and
  Laplacian spectral embeddings

Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings

29 September 2019
Keith D. Levin
Fred Roosta
M. Tang
Michael W. Mahoney
Carey E. Priebe
ArXiv (abs)PDFHTML

Papers citing "Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings"

3 / 3 papers shown
Title
Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)
Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)
Tong Qi
Vera Andersson
Peter Viechnicki
V. Lyzinski
64
0
0
03 Jun 2025
Asymptotics of $\ell_2$ Regularized Network Embeddings
Asymptotics of ℓ2\ell_2ℓ2​ Regularized Network Embeddings
A. Davison
87
0
0
05 Jan 2022
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
1