DataFunTalk
Oct 6, 2022 · Information Security
Graph Machine Learning for Security Risk Control: Architecture, Models, and Future Directions
This article presents a comprehensive overview of applying graph machine learning to security risk control, covering background cases, system architecture, dynamic heterogeneous graph modeling with HGT and DDGCL, experimental results, and future research directions for fraud, money‑laundering, and gambling detection.
Graph Neural Networkscontrastive learningdynamic heterogeneous graph
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