- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Heidelberg, Universität Heidelberg, Dissertation, 2022
- Schlagwort
-
Eingebettetes System
Graphentheorie
Einbettung
Graph
Maschinelles Lernen
Visualisierung
geometric deep learning
graph representation
riemannian manifold learning
non-euclidean geometry
symmetric positive definite matrices
graph embeddings
hyperbolic geometry
siegel space
- Ereignis
-
Veröffentlichung
- (wo)
-
Heidelberg
- (wer)
-
Universitätsbibliothek Heidelberg
- (wann)
-
2023
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.11588/heidok.00033753
- URN
-
urn:nbn:de:bsz:16-heidok-337536
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:49 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- López, Federico
- Strube, Michael
- Universitätsbibliothek Heidelberg
Entstanden
- 2023
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