Enhancing attributed network embedding via enriched attribute representations

Abstract Attributed network embedding enables to generate low-dimensional representations of network objects by leveraging both network structure and attribute data. However, how to properly combine two different information to achieve better vector representations remains still unclear. While some...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Kakisim, Arzu Gorgulu [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2021

Schlagwörter:

Attributed networks

Graph embedding

Representation learning

Random walks

Anmerkung:

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. corrected publication 2021

Übergeordnetes Werk:

Enthalten in: Applied intelligence - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991, 52(2021), 2 vom: 24. Mai, Seite 1566-1580

Übergeordnetes Werk:

volume:52 ; year:2021 ; number:2 ; day:24 ; month:05 ; pages:1566-1580

Links:

Volltext

DOI / URN:

10.1007/s10489-021-02498-w

Katalog-ID:

SPR046041303

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