arXiv Machine Learning July 13, 2026 By Samra Sana, Giorgio Mantica, Saul Imbrici

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation

Read the original on arXiv Machine Learning →

arXiv:2607. 09372v1 Announce Type: new Abstract: Graph Neural Networks (GNNs) provide a learning-based framework for approximating graph quantities that are expensive to compute exactly.

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