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eNauka >  Rezultati >  Local intrinsic dimensionality measures for graphs, with applications to graph embeddings
Naziv: Local intrinsic dimensionality measures for graphs, with applications to graph embeddings
Autori: Savic, Milos  ; Kurbalija, Vladimir M  ; Radovanovic, Milos M  
Godina: 2023
Publikacija: INFORMATION SYSTEMS
ISSN: 0306-4379 Information Systems Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: vol. 119 str. 102272-102272
DOI: 10.1016/j.is.2023.102272
WoS-ID: 001068895400001
Scopus-ID: 2-s2.0-85172459091
URI: https://cris.uns.ac.rs/en/scientific-results/journal-publication/19201
https://enauka.gov.rs/handle/123456789/832264
https://www.cris.uns.ac.rs/record.jsf?recordId=133603&source=eNauka&language=en
Projekat: GRASP - Graphs in Space: Graph Embeddings for Machine Learning on Complex Data
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
M-kategorija: 
21M21 - Vodeći međunarodni časopis kategorije M21

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