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Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field

AAAI 2021 · Graph learning › Graph self-supervised learning · approach: Graph anomaly detection · 75 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use GRC instead of GCNAlipay auto-loan fraud detection · Alipay auto-loan, 1,000 training samplesF1-Score: 65.21% -> 77.01%Helped
Use GRC instead of GCNAlipay auto-loan fraud detection · Alipay auto-loan, 2,000 training samplesF1-Score: 68.79% -> 81.32%Helped
Use GRC instead of GCNAlipay auto-loan fraud detection · Alipay auto-loan, 3,000 training samplesF1-Score: 70.97% -> 82.83%Helped
Use GRC instead of GCNAlipay auto-loan fraud detection · Alipay auto-loan, 12,000 training samplesF1-Score: 79.07% -> 85.56%Helped
Add CRF role constraint (ablation)GRC · Alipay auto-loan, 12,000 training samplesF1 score: 83.83% -> 85.56%Helped
Add edge-attribute neighbor aggregation (ablation)GRC · Alipay auto-loan, 12,000 training samplesF1 score: 83.68% -> 85.56%Helped
Add relation attention (ablation)GRC · Alipay auto-loan, 12,000 training samplesF1 score: 84.34% -> 85.56%Helped
Add time-slot attention (ablation)GRC · Alipay auto-loan, 12,000 training samplesF1 score: 83.44% -> 85.56%Helped

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