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An XMSE-aware estimator adapts between maximum likelihood and empirical Bayes, ensuring optimal performance even under kernel misspecification.
Aggregate spectral tests can eliminate over half of the candidates in continuous subgraph matching while maintaining performance across dynamic updates.
