;
In
KDD ’25 : Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, Seiten/Artikel-Nr: 626-636
2025
Online
DOI: 10.1145/3711896.3736998
DOI: 10.18154/RWTH-2025-08011
URL: https://publications.rwth-aachen.de/record/1018835/files/1018835.pdf
Einrichtungen
OpenAccess:
PDF
Dokumenttyp
Contribution to a book/Contribution to a conference proceedings
Format
online
Sprache
English
Anmerkung
Peer review status of article unknown
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105014313930
WOS Core Collection: WOS:001592428900056
Interne Identnummern
RWTH-2025-08011
Datensatz-ID: 1018835
Beteiligte Länder
Germany
Preprint
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection
11 Seiten (2025) [10.48550/arXiv.2505.24534]
Files
Fulltext by arXiv.org
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| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| Hybrid-OA | 647.55 | 72.22 | EUR | 100.00 % | (Zahlung erfolgt) | 021000-125230 |
| Sum | 647.55 | 72.22 | EUR | |||
| Total | 719.77 |