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An MBO scheme for clustering and semi-supervised clustering of signed
  networks
v1v2v3v4v5 (latest)

An MBO scheme for clustering and semi-supervised clustering of signed networks

10 January 2019
Mihai Cucuringu
A. Pizzoferrato
Y. Gennip
ArXiv (abs)PDFHTML

Papers citing "An MBO scheme for clustering and semi-supervised clustering of signed networks"

6 / 6 papers shown
Gradient flows and randomised thresholding: sparse inversion and
  classification
Gradient flows and randomised thresholding: sparse inversion and classificationInverse Problems (IP), 2022
J. Latz
235
2
0
22 Mar 2022
SSSNET: Semi-Supervised Signed Network Clustering
SSSNET: Semi-Supervised Signed Network Clustering
Yixuan He
Gesine Reinert
Songchao Wang
Mihai Cucuringu
277
40
0
13 Oct 2021
Adversarial Classification: Necessary conditions and geometric flows
Adversarial Classification: Necessary conditions and geometric flowsJournal of machine learning research (JMLR), 2020
Nicolas García Trillos
Ryan W. Murray
AAML
393
22
0
21 Nov 2020
Regularized spectral methods for clustering signed networks
Regularized spectral methods for clustering signed networks
Mihai Cucuringu
A. Singh
Déborah Sulem
Hemant Tyagi
243
23
0
03 Nov 2020
Spectral Clustering of Signed Graphs via Matrix Power Means
Spectral Clustering of Signed Graphs via Matrix Power MeansInternational Conference on Machine Learning (ICML), 2019
Pedro Mercado
Francesco Tudisco
Matthias Hein
288
37
0
15 May 2019
SPONGE: A generalized eigenproblem for clustering signed networks
SPONGE: A generalized eigenproblem for clustering signed networks
Mihai Cucuringu
Peter Davies
Aldo Glielmo
Hemant Tyagi
268
65
0
18 Apr 2019
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