Увійти
ідея - Desmoothing Framework for GCN-based Recommendations
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
Desmoothing Framework (DGR) addresses over-smoothing in GCN-based recommendation models by considering global and local perspectives.
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
グラフベースの推薦システムにおける過度な平滑化問題を解決するためのDGRフレームワークは、個人化された推薦を向上させる効果的な方法です。
DGR: Desmoothing Framework for GCN-based Recommendation Systems
The author introduces a novel Desmoothing Framework (DGR) to address the over-smoothing issue in GCN-based recommendation systems by considering both global and local perspectives.
Продукти
© 2024 by Linnk AI