ImprovedGCN: An efficient and accurate recommendation system employing lightweight graph convolutional networks in social media

作者：

Highlights：

• Simplifies the model by including only the necessary parts for recommendation.

• Improved graph convolution and layer concatenation.

• Make a contrast with other models.

• Prove the rationality and efficiency of ImprovedGCN.

• Future work is to individualize the layer concatenation weights.

摘要

•Simplifies the model by including only the necessary parts for recommendation.•Improved graph convolution and layer concatenation.•Make a contrast with other models.•Prove the rationality and efficiency of ImprovedGCN.•Future work is to individualize the layer concatenation weights.

论文关键词：Recommendation system,Graph neural network,Embedding,Collaborative filtering

论文评审过程：Received 10 November 2021, Revised 14 June 2022, Accepted 10 August 2022, Available online 13 August 2022, Version of Record 29 August 2022.

论文官网地址：https://doi.org/10.1016/j.elerap.2022.101191