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Regularized spectral methods for clustering signed networks

Regularized spectral methods for clustering signed networks

3 November 2020
Ning Zhang
A. Singh
Déborah Sulem
Hemant Tyagi
ArXiv (abs)PDFHTML

Papers citing "Regularized spectral methods for clustering signed networks"

5 / 5 papers shown
Title
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed
  Laplacian
MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian
Yixuan He
Michael Perlmutter
Gesine Reinert
Mihai Cucuringu
90
27
0
01 Sep 2022
Geometric Scattering on Measure Spaces
Geometric Scattering on Measure Spaces
Joyce A. Chew
M. Hirn
Smita Krishnaswamy
Deanna Needell
Michael Perlmutter
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
GNN
228
19
0
17 Aug 2022
Sublinear-Time Clustering Oracle for Signed Graphs
Sublinear-Time Clustering Oracle for Signed Graphs
S. Neumann
Pan Peng
34
2
0
28 Jun 2022
SSSNET: Semi-Supervised Signed Network Clustering
SSSNET: Semi-Supervised Signed Network Clustering
Yixuan He
Gesine Reinert
Songchao Wang
Mihai Cucuringu
78
28
0
13 Oct 2021
Learning with Semi-Definite Programming: new statistical bounds based on
  fixed point analysis and excess risk curvature
Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature
Stéphane Chrétien
Ning Zhang
Guillaume Lecué
Lucie Neirac
21
5
0
04 Apr 2020
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