COURSE

FTEC5330

Graph Machine Learning: Methods and Applications

Society Hub / Financial Technology · 3 Credits

Graph data is pervasive in finance and business management. This course introduces essential graph types and foundational modeling methods, including shallow embeddings, graph neural networks, and emerging LLM-based techniques, with emphasis on FinTech applications. Students will apply these approaches to real-world tasks, such as financial fraud detection and recommendation, through reproducible, practice-oriented implementations.