This paper addresses the problem of detecting money laundering in the Bitcoin network. Money laundering is the process of handling the proceeds of crime to conceal their illegal source, these illicit ...

In today’s era of data explosion, it’s more important for organizations to make the most of analyzing their colossal amounts of data in real time for anti-money-laundering efforts. Processing Content ...

Existing graph-based methods for anti-money laundering (AML) in blockchain systems primarily focus on structural connectivity or simple temporal encodings, yet they overlook a critical dimension: the ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and ...