Handling information loss of graph convolutional networks in collaborative filtering

作者：

Highlights：

• The information loss in Graph Convolutional Network-based Collaborative Filtering.

• The enhanced Graph Convolutional Network.

• The optimized Laplacian convolution kernel.

• The optimized information propagation framework of Graph Convolutional Network.

摘要

•The information loss in Graph Convolutional Network-based Collaborative Filtering.•The enhanced Graph Convolutional Network.•The optimized Laplacian convolution kernel.•The optimized information propagation framework of Graph Convolutional Network.

论文关键词：Collaborative filtering,Graph convolutional network,Recommender system,Variational autoencoder

论文评审过程：Received 26 August 2021, Revised 20 March 2022, Accepted 13 April 2022, Available online 21 April 2022, Version of Record 4 May 2022.

论文官网地址：https://doi.org/10.1016/j.is.2022.102051