Graph Neural Networks (GNNs)
A class of deep learning architectures designed to perform inference on data described by graphs, treating taxpayers and transactions as nodes and edges to map cross-border networks.
Source: AI-Driven Tax Fraud Detection and Tax Compliance Analytics: A Review of Methods, Challenges, and Responsible Deployment (Academic research) · p.2
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