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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Vydané v:	Information systems (Oxford) Ročník 109; s. 102051
Hlavní autori:	Xiong, Xin, Li, XunKai, Hu, YouPeng, Wu, YiXuan, Yin, Jian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2022
Predmet:	Collaborative filtering Graph convolutional network Recommender system Variational autoencoder Variational autoencoder Graph convolutional network Collaborative filtering Recommender system
ISSN:	0306-4379, 1873-6076
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