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аналитика - Desmoothing Framework for GCN-based Recommendations
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.
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: 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.
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