Showing 6 of 6 projects
A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.
A Python scikit for building and analyzing recommender systems that handle explicit rating data.
A Python library implementing hybrid recommendation algorithms with metadata support for both implicit and explicit feedback.
A curated collection of graph classification papers with reference implementations covering embedding, deep learning, kernels, and factorization.
Fast Python library for collaborative filtering recommendation algorithms on implicit feedback datasets.
A curated list of community detection research papers with implementations.
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