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Graph Neural Networks in AML: A New Era in Fighting Financial Crime

  • Graph Neural Networks (GNNs) are revolutionizing how banks fight financial crime.
  • Traditional anti-money laundering (AML) systems are falling short in detecting complex money laundering operations.
  • GNNs analyze entire transaction networks, detect suspicious clusters and hidden links between accounts.
  • GNNs reduce false positives, adapt to evolving criminal tactics, and enable faster detection of illicit activities.

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