Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review
Sign Up to like & getrecommendations! Published in 2025 at "Wiley Interdisciplinary Reviews: Computational Statistics"
DOI: 10.1002/wics.70040
Abstract: Financial institutions are required by regulation to report suspicious financial transactions related to money laundering. Therefore, they need to constantly monitor vast amounts of incoming and outgoing transactions. Given the involvement of many parties in… read more here.
Keywords: anti money; money laundering; continual graph; graph learning ... See more keywords
Efficient and Robust Continual Graph Learning for Graph Classification in Biology
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DOI: 10.1109/tsipn.2025.3592321
Abstract: Graph classification is essential for understanding complex biological systems, where molecular structures and interactions are naturally represented as graphs. Traditional graph neural networks (GNNs) perform well on static tasks but struggle in dynamic settings due… read more here.
Keywords: biology; continual graph; graph learning; graph classification ... See more keywords