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Author

Hanvit Lee

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Book Open access Sep 2026

Do All Nodes Benefit Equally from Knowledge Graphs? Adaptive Node-Aware KG Fusion for Recommendation

This paper proposes AdaKG (Adaptive Node-Aware KG Fusion), a novel KG-aware recommendation method that adaptively adjusts the contribution of auxiliary knowledge for each node that achieves strong performance compared with its baselines and the effectiveness of the adaptive fusion strategy.

Jaehyun Park, Minseo Jeon, Daewon Gwak et al. · 0 citations

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