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recommender-geometric

Recommender system using pytorch geomtric to learn and predict an heterogeneous graph representation. Made for large networks: - Spark data management - distributed Deep graph network to predict new edges with labels (user rates a movie) - Sampling of the graph during epochs

Data source to unzip in data/01_raw : https://files.grouplens.org/datasets/movielens/ml-25m.zip Use poetry install to install project's dependancies.

Preprocess + train

Run full pipe with kedro run

Skip preprocessing

Run with kedro run --from_nodes training_start

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