Tag
Proposes Logic-GNN, a neuro-symbolic framework that uses temporal graph neural networks and graph Kolmogorov complexity to induce a symbolic grammar for clinical records, enabling detection and correction of data entry errors as grammatical violations. The system achieves an F1-score of 0.94 on a large healthcare dataset, outperforming state-of-the-art methods by 12%.