High-order Knowledge Based Network Controllability Robustness Prediction: A Hypergraph Neural Network Approach

Researchers developed NCR-HoK, a dual hypergraph attention neural network that predicts network controllability robustness using high-order structural relationships. The AI-based method significantly reduces computational overhead compared to traditional attack simulations while achieving superior performance on both synthetic and real-world networks.