LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks

Location-Based Social Networks (LBSNs) have been widely used as a primary data source for studying the impact of mobility and social relationships on each other. Traditional approaches manually define features to characterize users' mobility homophily and social proximity, and show that mobilit...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 34; H. 4; S. 1843 - 1855
Hauptverfasser:	Yang, Dingqi, Qu, Bingqing, Yang, Jie, Cudre-Mauroux, Philippe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Correlation Data models Embedding graph embedding Graph theory Graphs heterogeneous hypergraph location-based social network Marine vehicles Nodes Predictive models Semantics Social network services Social networks social relationship Task analysis User mobility
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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