Capstone Archive

🎓 Welcome to the archive of past capstone projects! Here, you’ll find innovative and impactful work created by GW Data Science students—perfect for inspiration, learning, and celebrating what’s possible through data.

All Dates Spring 2024 All Subjects GNN All Levels Graduate

A Benchmark for Graph-Based Dynamic Recommendation Systems

This paper aims to provide a comprehensive benchmarking framework for evaluating the performance of graph-based dynamic recommendation systems.

Spring 2024

GNN

Graduate

Author(s): Tyler Wallett

Instructor: Amir Jafari

Bibliography: Wallett, T., Jafari, A. A benchmark for graph-based dynamic recommendation systems. Neural Comput & Applic 36, 22829–22844 (2024). https://doi.org/10.1007/s00521-024-10425-6

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