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Found 2 papers, 1 papers with code
Simple and Powerful Architecture for Inductive Recommendation Using Knowledge Graph Convolutions
In this work, we propose SimpleRec, a strong baseline that uses a graph neural network and a KG to provide better recommendations than related inductive methods for new users and items.
MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings
As a demonstration of the importance of this new dataset, we present a comparative study of the effect of the inclusion of ratings on non-item KG entities in a variety of state-of-the-art recommendation models.
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