Anti-money laundering using node and edge levels in position-aware graph neural networks

  • Tapela, Mbiganyi (PI)

Project: Research project

Project Details

Description

A hybrid system that employs node level and edge level analysis and position-aware graph machine learning to combat money laundering.

Layman's description

Anti-money laundering system that uses machine learning to fight illegal transactions

Key findings

Graph neural network, machine learning, money laundering
StatusActive
Effective start/end date9/6/219/28/22

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