Deep graph embedding learning based on multi-variational graph autoencoders for POI recommendation

Recently, point-of-interest (POI) recommendation has become a popular research hotspot in heterogeneous location-based social network (LBSN). One major recurring challenge in POI recommendation is that most existing works fail to learn well graph embeddings for user preferences, lacking the capabili...

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Vydané v:	Data mining and knowledge discovery Ročník 39; číslo 4; s. 33
Hlavní autori:	Gong, Weihua, Shen, Genhang, Zhao, Anlun, Yang, Lianghuai, Cheng, Zhen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer Nature B.V 01.07.2025
Predmet:	Decoders Embedding Graph representations Graph theory Learning Performance evaluation Social networks
ISSN:	1384-5810, 1573-756X
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