The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms. We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.
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Transaction_Graph_Generator should generate an adjacency list. #64
An adjacency list should be generated by the transaction graph generator. The transactions csv file is currently acting as a lengthy adjacency list already and the concept of "transactions" should only exist in the Java (business logic) and the Python exists solely for building graphs.
An adjacency list should be generated by the transaction graph generator. The transactions csv file is currently acting as a lengthy adjacency list already and the concept of "transactions" should only exist in the Java (business logic) and the Python exists solely for building graphs.