Start small, think big: On hyperparameter optimization for large-scale knowledge graph embeddings

Kochsiek, Adrian ; Niesel, Fritz ; Gemulla, Rainer

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Document Type: Conference or workshop publication
Year of publication: 2023
Book title: Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022 : proceedings. Part II
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 13714
Page range: 138-154
Conference title: ECML PKDD 2022
Location of the conference venue: Grenoble, France
Date of the conference: 19.-23.09.2022
Publisher: Amini, Massih-Reza ; Canu, Stéphane ; Fischer, Asja ; et al.
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-031-26389-7 , 978-3-031-26390-3
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science I: Data Analytics (Gemulla 2014-)
Subject: 004 Computer science, internet
Keywords (English): knowledge graph embedding , multi-fidelity hyperparameter optimization , low-fidelity approximation

Dieser Eintrag ist Teil der Universitätsbibliographie.

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ORCID: Kochsiek, Adrian ; Niesel, Fritz ; Gemulla, Rainer ORCID: 0000-0003-2762-0050

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