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Nikolaos Papagiannis

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Book Open access Aug 2026

Testing Statistical Dependence in Labeled Graphs under Mismatches

This work proposes a novel and practical framework for dependence testing in labeled graphs via mutual information over a structure-weighted joint label distribution and demonstrates that the proposed test is a statistically sound and an effective tool for uncovering nontrivial dependencies in graph data.

Nikolaos Papagiannis, Vasam Manjveekar Prabantu, A. Grama et al. · 0 citations