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1 Ergebnisse
1
Capturing Temporal Node Evolution via Self-supervised Learn..:
, In:
Proceedings of the 17th ACM International Conference on Web Search and Data Mining
,
Liu, Lingwen
;
Wen, Guangqi
;
Cao, Peng
... - p. 443-451 , 2024
Link:
https://dl.acm.org/doi/10.1145/3616855.3635765
RT T1 <cTitle>Proceedings of the 17th ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3635765&Exemplar=1&LAN=DE A1 Liu, Lingwen A1 Wen, Guangqi A1 Cao, Peng A1 Yang, Jinzhu A1 Li, Weiping A1 Zaiane, Osmar R. PB ACM YR 2024 K1 dynamic graph K1 edge classification K1 link prediction K1 node classification K1 self-supervised learning K1 Theory of computation K1 Design and analysis of algorithms K1 Graph algorithms analysis K1 Dynamic graph algorithms K1 Theory and algorithms for application domains K1 Machine learning theory K1 Information systems K1 Information systems applications K1 Data mining SP 443 OP 451 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3616855.3635765 DO https://dl.acm.org/doi/10.1145/3616855.3635765 SF ELIB - SuUB Bremen
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