Yong-Zeng Shang

Digital currency money laundering identification model based on graph structure and transformer self-supervised learning

Digital currency money laundering detection faces two major challenges: scarce labeled illicit transactions and complex fund-flow topologies. To address these issues, this study proposes GT-SSL, a graph-structured Transformer self-supervised learning framework for cryptocurrency anti-money laundering detection. The mai...