Temporal network embedding framework with causal anonymous walks representations.

Makarov, Ilya; Savchenko, Andrey; Korovko, Arseny; Sherstyuk, Leonid; Severin, Nikita; Kiselev, Dmitrii; Mikheev, Aleksandr; Babaev, Dmitrii

Makarov, Ilya; Savchenko, Andrey; Korovko, Arseny; Sherstyuk, Leonid; Severin, Nikita; Kiselev, Dmitrii; Mikheev, Aleksandr; Babaev, Dmitrii.

Afiliação

Makarov I; HSE University, Moscow, Russia.
Savchenko A; University of Ljubljana, Ljubljana, Slovenia.
Korovko A; Artificial Intelligence Research Institute (AIRI), Moscow, Russia.
Sherstyuk L; Laboratory of Algorithms and Technologies for Network Analysis, HSE University, Nizhny Novgorod, Russia.
Severin N; HSE University, Moscow, Russia.
Kiselev D; HSE University, Moscow, Russia.
Mikheev A; Moscow Institute of Physics and Technology, Moscow, Russia.
Babaev D; HSE University, Moscow, Russia.

PeerJ Comput Sci ; 8: e858, 2022.

Article em En | MEDLINE | ID: mdl-35174275

Palavras-chave

Dynamic networks; Temporal graph attention; Temporal network embedding; Temporal networks; Temporal random walks

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article