Abstract: In multi-layer network community detection, the goal is to group nodes into distinct clusters based on their connection strengths. Currently, many existing methods do not fully leverage the ...
Abstract: Rank selection, i.e. the choice of factorization rank, is the first step in constructing Nonnegative Matrix Factorization (NMF) models. It is a long-standing problem which is not unique to ...
This project implements various approaches for building recommender systems, including Cosine Similarity, Collaborative Filtering (user-based and item-based), and Matrix Factorization using ...
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