Logic-GNN induces symbolic grammars from clinical graphs via TGNN and Graph Kolmogorov Complexity, defining anomalies as MDL-expanding grammatical violations and reporting 0.94 F1 on the Sina dataset.
A Novel Anomaly Detection Using Autoencoders on Contaminated Data
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Logical Grammar Induction via Graph Kolmogorov Complexity: A Neuro-Symbolic Framework for Self-Healing Clinical Data Integrity
Logic-GNN induces symbolic grammars from clinical graphs via TGNN and Graph Kolmogorov Complexity, defining anomalies as MDL-expanding grammatical violations and reporting 0.94 F1 on the Sina dataset.