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Payroll Fraud Detection in Synthetic HR/ERP Graphs: An Inductive Comparison of Rules, Path Features, and Graph Neural Networks

arXiv cs.AI ↗ · 2d ago Cached

An arXiv paper formulates payroll fraud detection as inductive link prediction on synthetic HR/ERP graphs, comparing analyst rules, path features, and GNNs. A gradient-boosted model on chained-join features outperformed a GraIL-style GNN on link AP, while the relational entity GNN led under failed identifier joins, showing multi-hop gains are not GNN-specific.

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