WelcomeAIOverlords (Zak Jost)
Machine Learning Street Talk (MLST)
00:00
Graph-Based Approaches in Fraud Detection
This chapter explores the use of graphs in machine learning for applications like fraud detection and drug repurposing. It highlights the evolution of knowledge graphs, the challenges of maintenance and consistency, and introduces methods such as graph convolutional networks and graph attention networks. Additionally, it addresses the complexities of detecting sophisticated fraudulent activities, emphasizing the continual cat-and-mouse game between fraudsters and detection systems.
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