Multi-relational graph representation learning for financial statement fraud detection (IMAGE)
Caption
Overview of the FraudGCN approach. The researchers constructed three types of ‘sub-graphs’ depending on the type of relationships between companies: with accounting firms; along supply chains; and throughout an industry. The training direction of the machine learning model is depicted by red arrows. Grey circles (‘nodes’) represent fraudulent firms and white circles represent normal firms
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Big Data Mining and Analytics, Tsinghua University Press
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