Preprint
Jul 2026
Graph Classification via Network Usable Information: From Representation Evaluation to Structure Selection
A training-free NUI estimation procedure based on clustering consistency with ground-truth labels is introduced, providing a proxy for task-relevant information without supervised learning, and a strong correlation between estimated NUI and downstream classification accuracy is observed, validating NUI as an effective measure of representation utility.
A. Shaik, Anwar Said
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