Author

Francesco Paolo Nerini

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Preprint Aug 2026

Inductive Correlation Clustering with Graph Neural Networks

This work uses Graph Neural Networks (GNNs) to solve Inductive Correlation Clustering, a novel generalization of the CC problem designed to handle unseen graph instances, and indicates that the method serves as an efficient pooling layer, enhancing the ability of GNNs to capture hierarchical structural information in networks.

Francesco Paolo Nerini, Francesco Bonchi, Arijit Khan et al. · 0 citations