BriefGPT.xyz
Feb, 2024
线性时间图神经网络可扩展的推荐系统
Linear-Time Graph Neural Networks for Scalable Recommendations
HTML
PDF
Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li...
TL;DR
在信息爆炸时代,推荐系统是为用户提供个性化推荐的重要工具。本文提出了一种线性时间图神经网络(LTGNN)来扩展基于GNN的推荐系统,以实现与经典MF方法相当的可扩展性,同时保持GNN强大的表达能力以获得更准确的预测。通过大量实验证明了所提算法的有效性和可扩展性。
Abstract
In an era of information explosion,
recommender systems
are vital tools to deliver personalized recommendations for users. The key of
recommender systems
is to forecast users' future behaviors based on previous u
→