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Repository Details
This research project explores the application of graph theory and anomaly detection ML to detect corruption risks, based on the Ukrainian state register of e-asset declarations of public officials. Some of these code and data samples are parts of my Bachelor's thesis on Corruption Risk Profiling with Open Data.