The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset

Over the last few years, the development of graph neural networks (GNNs) has allowed the extension of deep learning methods to developments in scalable Graph Neural Networks (GNNs), this ap proach encodes relational information at a subgroup level (multiple connected nodes) rather than at a node level of abstraction.

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