6 citations · 15 across the 8 of their papers we have counts for
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cs.LG2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
Sheng Tian, Jihai Dong, Jintang Li +7
Anomaly detection aims to distinguish abnormal instances that deviate significantly from the majority of benign ones. As instances that appear in the real world are naturally conne…
cs.LG2023★ 1 cited
GRANDE: a neural model over directed multigraphs with application to anti-money laundering
Ruofan Wu, Boqun Ma, Hong Jin +3
The application of graph representation learning techniques to the area of financial risk management (FRM) has attracted significant attention recently. However, directly modeling…