A total of 30 participants in the age group of 21-70 years were recruited for the study. Participants were divided into two groups: Group I: Fifteen otherwise healthy individuals. Group II: 15 individuals with type 2 diabetes.All the participants underwent the part 2 SKY training (advanced) ...
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systemskeg.cs.tsinghua.edu.cn/ 1. 背景 GNN在协同过滤相关方法中达到了最优的效果,从隐式反馈中负采样是协同过滤中需要面临的一大难题。当前在基于图的协同过滤方法中,负采样方法探索的还比较少。本文提出了即插即用的MixGCF负采样...
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KDD'21 MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems 来源:KDD 2021 摘要:协同过滤的一个基本挑战是从隐式反馈中提取负信号,但基于GNN的协同过滤的负采样在很大程度上尚未被探索。
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Both the main task and the auxiliary task face the noise problem and the distilling hard negative problem. However, existing GNN-CF models only focus on one of them and ignore the other. Aiming to solve the two problems in a unified framework, we propose a Multi-Mixing strategy for GNN-...