Before revision:  These methods suffer from high computational complexity and the resulting analysis is network specific. To address these challenges, we propose a graph neural network (GNN) based framework for approximating node resilience in large complex networks.
After revision:  These methods suffer from high computational complexity and the resulting analysis is also network-specific. To overcome these challenges, we propose a graph neural network (GNN) based framework for approximating node resilience in large complex networks.