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Forgetting Prevention for Cross-regional Fraud Detection with Heterogeneous Trade Graph
[article]
2022
arXiv
pre-print
With the booming growth of e-commerce, detecting financial fraud has become an urgent task to avoid transaction risks. Despite the successful applications of Graph Neural Networks (GNNs) in fraud detection, the existing solutions are only suitable for a narrow scope due to the limitation in data collection. Especially when expanding a business into new territory, e.g., new cities or new countries, developing a totally new model will bring the cost issue and result in forgetting previous
arXiv:2204.10085v2
fatcat:xchx3tvqazc2liityr7r7ufawm