khuangaf/PyTorch-Geometric-YooChoose
This is a tutorial for PyTorch Geometric on the YooChoose dataset
This project helps data scientists and machine learning engineers understand and implement Graph Neural Networks (GNNs) for recommendation systems. It takes raw e-commerce clickstream data, like that from the YooChoose dataset, and demonstrates how to process it to build models that predict user behavior, such as future clicks or purchases. It is ideal for those learning to apply GNNs to sequential or graph-structured user interaction data.
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Use this if you are a data scientist or machine learning engineer looking for a practical, code-based tutorial to learn how to build and train Graph Neural Networks for e-commerce recommendation tasks.
Not ideal if you are looking for a plug-and-play solution or a pre-trained model for your recommendation system without needing to understand the underlying GNN implementation.
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Jun 07, 2019
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