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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Bibliographic Details

Published in:	Data mining and knowledge discovery Vol. 39; no. 4; p. 33
Main Authors:	Gong, Weihua, Shen, Genhang, Zhao, Anlun, Yang, Lianghuai, Cheng, Zhen
Format:	Journal Article
Language:	English
Published:	New York Springer Nature B.V 01.07.2025
Subjects:	Decoders Embedding Graph representations Graph theory Learning Performance evaluation Social networks
ISSN:	1384-5810, 1573-756X
Online Access:	Get full text
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