LapGLP: Approximating Infinite-Layer Graph Convolutions With Laplacian for Federated Recommendation
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DOI: 10.1109/tifs.2025.3594145
Abstract: Recommender systems (RSs) have become crucial in helping users navigate the vast amount of online content available today. Graph neural networks (GNNs) have been applied to RSs to capture complex user–item relationships, but existing methods… read more here.
Keywords: approximating infinite; graph propagation; privacy; lapglp approximating ... See more keywords