Barabási-Albert model

The Barabási-Albert model is a random graph model used to evaluate the expressive power of graph neural networks (GNNs) by studying how their predictions evolve as the size of the graphs increases.

Papers using Barabási-Albert model (1)

Almost Surely Asymptotically Constant Graph Neural Networks2024