A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering

A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering

Recently, recommender systems based on Graph Convolution Network (GCN) have become a research hotspot, especially in collaborative filtering. However, most GCN-based models have inferior embedding propagation mechanism, leading to low information extraction efficiency. Besides, the existing methods...

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Bibliographic Details
Main Authors: Ronghui Guo, Xunkai Li, Youpeng Hu, Yixuan Wu, Xin Xiong, Meixia Qu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
graph convolutional network
recommender systems
Online Access:https://ieeexplore.ieee.org/document/9440428/

Internet

https://ieeexplore.ieee.org/document/9440428/

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