QwQ2000/TheWebConf24-LTGNN-PyTorch
TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
This project helps e-commerce platforms and content providers deliver highly relevant product or content recommendations to users, even with massive datasets. It takes user interaction data (like purchases or views) and item information, then outputs a personalized list of suggested items for each user. Anyone managing a large-scale recommendation system, such as a data scientist or machine learning engineer in retail or media, would find this useful.
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Use this if you need to build or improve a recommendation system that can efficiently handle very large numbers of users and items while maintaining accuracy.
Not ideal if you are working with small datasets or if your recommendation system is not experiencing scalability issues.
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22
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5
Language
Python
License
Apache-2.0
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Last pushed
Jul 23, 2025
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