Learning embeddings for multiplex networks using triplet loss

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2364-8228

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Learning embeddings for multiplex networks using triplet loss ; volume:4 ; number:1 ; day:23 ; month:12 ; year:2019 ; pages:1-16 ; date:12.2019
Applied network science ; 4, Heft 1 (23.12.2019), 1-16, 12.2019

Creator: Hajiseyedjavadi, Seyedsaeed
Lin, Yu-Ru
Pelechrinis, Konstantinos

Contributor: SpringerLink (Online service)

DOI: 10.1007/s41109-019-0242-0

URN: urn:nbn:de:101:1-2020032712191836765016

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

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Hajiseyedjavadi, Seyedsaeed
Lin, Yu-Ru
Pelechrinis, Konstantinos
SpringerLink (Online service)

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Learning embeddings for multiplex networks using triplet loss

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Other Objects (12)

On the networks of large embeddings

Modified centroid triplet loss for person re-identification

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Extensivity in infinitely large multiplex networks

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Multiplex flows in citation networks

Communication in multiplex transportation networks

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Deep Distributional Sequence Embeddings Based on a Wasserstein Loss

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Computing the Rooted Triplet Distance Between Phylogenetic Networks

Extensivity in infinitely large multiplex networks

Multiplex measures for higher-order networks

Finding multifaceted communities in multiplex networks

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Assessing diversity in multiplex networks

Multiplex flows in citation networks

Communication in multiplex transportation networks

Relay synchronization in multiplex networks

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Extensivity in infinitely large multiplex networks

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