Search Results for author: Jovan Blanuša

Found 2 papers, 1 papers with code

Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs

no code implementations13 Feb 2024 Jovan Blanuša, Maximo Cravero Baraja, Andreea Anghel, Luc von Niederhäusern, Erik Altman, Haris Pozidis, Kubilay Atasu

In this paper, we present "Graph Feature Preprocessor", a software library for detecting typical money laundering and fraud patterns in financial transaction graphs in real time.

Realistic Synthetic Financial Transactions for Anti-Money Laundering Models

1 code implementation NeurIPS 2023 Erik Altman, Jovan Blanuša, Luc von Niederhäusern, Béni Egressy, Andreea Anghel, Kubilay Atasu

To this end, this paper contributes a synthetic financial transaction dataset generator and a set of synthetically generated AML (Anti-Money Laundering) datasets.

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