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Found 3 papers, 2 papers with code
KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering
The recent integration of Graph Neural Networks (GNNs) into recommendation has led to a novel family of Collaborative Filtering (CF) approaches, namely Graph Collaborative Filtering (GCF).
A Topology-aware Analysis of Graph Collaborative Filtering
The successful integration of graph neural networks into recommender systems (RSs) has led to a novel paradigm in collaborative filtering (CF), graph collaborative filtering (graph CF).
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
In fact, in these cases we have that with a large number of high-quality features, the resulting models are more complex and difficult to train.
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