Fraud Detection Through Large-Scale Graph Clustering with Heterogeneous Link Transformation
Published:Dec 22, 2025 05:59
•1 min read
•ArXiv
Analysis
This article likely presents a novel approach to fraud detection by leveraging graph clustering techniques. The use of heterogeneous link transformation suggests the method can handle diverse data types and relationships within the fraud network. The focus on large-scale graphs indicates the method's scalability and potential for real-world applications.
Key Takeaways
Reference
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