Barabasi-Albert
Emerging1papers using it
2026first seen
The Barabasi-Albert model is a benchmark for generating scale-free networks used to evaluate the performance of Graph Neural Networks in approximating node centrality measures.
The Barabasi-Albert model is a benchmark for generating scale-free networks used to evaluate the performance of Graph Neural Networks in approximating node centrality measures.