Cryptocurrency Transaction Network

Cryptocurrency transaction networks are analyzed to understand their structure and dynamics, primarily focusing on detecting illicit activities and predicting future transactions. Research employs graph neural networks (GNNs), often incorporating temporal information and utilizing techniques like motif analysis and multi-graph representations to improve accuracy in tasks such as fraud detection and illicit account identification. These advancements are crucial for enhancing the security and stability of cryptocurrency markets and informing the development of more robust anti-money laundering and risk management strategies.