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Faster Inference of Cell Complexes from Flows via Matrix Factorization

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Umfang5 Seiten

Online
DOI: 10.48550/arXiv.2508.21372

URL: https://publications.rwth-aachen.de/record/1023372/files/1023372.pdf

Einrichtungen

  1. Lehrstuhl für Computational Network Science (125230 ; 125210)
  2. Fachgruppe Informatik (120000)

Projekte

  1. HIGH-HOPeS - Higher-Order Hodge Laplacians for Processing of multi-way Signals (101039827) (101039827)

Inhaltliche Beschreibung (Schlagwörter)
FOS: Computer and information sciences (Genormte SW) ; FOS: Electrical engineering, electronic engineering, information engineering (Genormte SW) ; Machine Learning (cs.LG) (Genormte SW) ; Signal Processing (eess.SP) (Genormte SW) ; Social and Information Networks (cs.SI) (Genormte SW)

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Dokumenttyp
Preprint

Format
online

Sprache
English

Externe Identnummern
arXiv: arXiv:2508.21372

Interne Identnummern
RWTH-2025-10640
Datensatz-ID: 1023372

Beteiligte Länder
Germany

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 Record created 2025-12-12, last modified 2025-12-16


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