LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks

Researchers developed LineMVGNN, a novel graph neural network method for anti-money laundering that uses multi-view graph learning to analyze transaction networks. The method outperformed existing approaches on real-world datasets including Ethereum phishing networks and financial payment data.