HIGHLIGHTS
- What: The aim of this study is to solve the limitations of traditional AML systems and use the power of GNNs to improve the detection of financial transactions. This approach has proven particularly useful in analyzing financial market processes that unfold over time. This analysis provides insights into the decision-making process of the GNN model and helps identify the most influential factors in detecting money laundering patterns.
- Who: DELL from the Electrical Engineering and Computer Science, University of California, Berkeley, CA, USA have published the research: Journal of AI-Powered Medical Innovations ISSN: 3078 . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.