Handling information loss of graph convolutional networks in collaborative filtering

Collaborative filtering (CF) methods based on graph convolutional network (GCN) and autoencoder (AE) achieve outstanding performance. But the GCN-based CF methods suffer from information loss problems, which are caused by information lossy initialization and using low-order Chebyshev Polynomial to f...

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Bibliographic Details

Published in:	Information systems (Oxford) Vol. 109; p. 102051
Main Authors:	Xiong, Xin, Li, XunKai, Hu, YouPeng, Wu, YiXuan, Yin, Jian
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2022
Subjects:	Collaborative filtering Graph convolutional network Recommender system Variational autoencoder Variational autoencoder Graph convolutional network Collaborative filtering Recommender system
ISSN:	0306-4379, 1873-6076
Online Access:	Get full text
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