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Topological protection fails dynamically in non-Hermitian systems when the skin effect overwhelms the Chern invariant, forcing supposedly robust boundary signals to disperse into the bulk.
Forget rigid thresholds: GCTAM leverages contextual and global affinity to boost graph anomaly detection by 15-20% on real-world datasets, outperforming previous TAM-based methods.
