Barabasi-Albert graphs

Graph Neural Networks improve node centrality approximation speed and transferability

Researchers have developed Graph Neural Networks (GNNs) to approximate node centrality metrics like betweenness and closeness, which are computationally expensive to calculate exactly. The study demonstrates that GNNs c…