Machine Learning Model Development on Large Scale Graphs Using Modern Methods of Batch Sampling.

Student: Vakhrushin Mikhail

Educational Programme: Master of Data Science (Master)

Final Grade: 10

Year of Graduation: 2024

Large-scale graph data arises in various domains such as social networks, recommender systems, and bioinformatics, posing significant challenges for machine learning model development. This thesis addresses the scalability issues inherent in graph neural networks (GNNs) by proposing modern methods of batch sampling and innovative approaches to data processing and model training.

Full text (added June 3, 2024)

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