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Estimating Graph Dimension with Cross-validated Eigenvalues

Estimating Graph Dimension with Cross-validated Eigenvalues

6 August 2021
Fan Chen
S. Roch
Karl Rohe
Shuqi Yu
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Papers citing "Estimating Graph Dimension with Cross-validated Eigenvalues"

7 / 7 papers shown
Title
Enhancing Blind Source Separation with Dissociative Principal Component
  Analysis
Enhancing Blind Source Separation with Dissociative Principal Component Analysis
Muhammad Usman Khalid
57
0
0
19 Nov 2024
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
Konstantinos Pantazis
M. Trosset
W. Frost
Carey E. Priebe
V. Lyzinski
17
0
0
26 Sep 2024
On inference for modularity statistics in structured networks
On inference for modularity statistics in structured networks
Anirban Mitra
Konasale Prasad
Joshua Cape
22
0
0
23 Feb 2024
T-Stochastic Graphs
T-Stochastic Graphs
Sijia Fang
K. Rohe
6
1
0
04 Sep 2023
Data thinning for convolution-closed distributions
Data thinning for convolution-closed distributions
Anna Neufeld
Ameer Dharamshi
Lu Gao
Daniela Witten
14
20
0
18 Jan 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
11
1
0
08 Feb 2022
A New Basis for Sparse Principal Component Analysis
A New Basis for Sparse Principal Component Analysis
Fan Chen
Karl Rohe
6
5
0
01 Jul 2020
1