Gaussian Random Partition

The 'Gaussian Random Partition' is a benchmark dataset used to evaluate the performance of Graph Neural Networks in approximating node centrality measures, particularly in the context of community-structured graphs.

Papers using Gaussian Random Partition (1)

Graph Neural Networks for Scalable and Transferable Node Centrality Approximation2026