Blockchain researchers use AI to spot cryptocurrency money laundering

Researchers from Elliptic, IBM Watson and MIT have explored subgraph representation learning in the context of complex networks, specifically focusing on analysing local structures (or shapes) within Bitcoin clusters. Enabled by scalable Graph Neural Networks (GNNs), this approach encodes relational information at a subgroup level rather than at the node level of abstraction.

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