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Regularized spectral methods for clustering signed networks

Regularized spectral methods for clustering signed networks

3 November 2020
Mihai Cucuringu
A. Singh
Déborah Sulem
Hemant Tyagi
ArXiv (abs)PDFHTMLGithub

Papers citing "Regularized spectral methods for clustering signed networks"

9 / 9 papers shown
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for
  Temporal Graphs
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
Anson Bastos
Kuldeep Singh
Abhishek Nadgeri
Manish Singh
Toyotaro Suzumura
241
3
0
25 Feb 2024
Defensive Alliances in Signed Networks
Defensive Alliances in Signed NetworksJournal of Artificial Intelligence Research (JAIR), 2023
Emmanuel Arrighi
Zhidan Feng
Henning Fernau
Kevin Mann
Xingqin Qi
Petra Wolf
334
1
0
13 Sep 2023
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 LaplacianLOG IN (LOG IN), 2022
Yixuan He
Michael Perlmutter
Gesine Reinert
Mihai Cucuringu
382
41
0
01 Sep 2022
Geometric Scattering on Measure Spaces
Geometric Scattering on Measure SpacesApplied and Computational Harmonic Analysis (ACHA), 2022
Joyce A. Chew
M. Hirn
Smita Krishnaswamy
Deanna Needell
Michael Perlmutter
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
GNN
709
23
0
17 Aug 2022
Sublinear-Time Clustering Oracle for Signed Graphs
Sublinear-Time Clustering Oracle for Signed GraphsInternational Conference on Machine Learning (ICML), 2022
S. Neumann
Pan Peng
222
7
0
28 Jun 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
DIGRAC: Digraph Clustering Based on Flow Imbalance
DIGRAC: Digraph Clustering Based on Flow ImbalanceLOG IN (LOG IN), 2021
Yixuan He
Gesine Reinert
Mihai Cucuringu
AI4CE
597
15
0
09 Jun 2021
An extension of the angular synchronization problem to the heterogeneous
  setting
An extension of the angular synchronization problem to the heterogeneous settingFoundations of Data Science (FDS), 2020
Mihai Cucuringu
Hemant Tyagi
337
7
0
29 Dec 2020
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 curvatureJournal of machine learning research (JMLR), 2020
Stéphane Chrétien
Mihai Cucuringu
Guillaume Lecué
Lucie Neirac
267
5
0
04 Apr 2020
1
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