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Graph Machine Learning for Fraud Detection – Dan Saattrup Nielsen, University of Bristol/formerly Danish Business Authority

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The Danish Business Authority started investing in graph databases and graph machine learning in 2018, and now has a machine learning lab of 15+ data scientists. I will talk about how we use graph analytics and machine learning to find tax fraudsters, money launderers and more.

Key Takeaways

  • Graph structure makes it easier to find networks of criminals
  • Centralised data access makes the graph approach more viable
  • Graph neural networks currently does not seem to outperform manually curated graph features

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