CSBA-Net: Learning Cross-Scale Structural Dependencies for Influential Node Identification in Complex Networks
Identifying influential nodes is a fundamental task in complex network analysis, with applications in epidemic control, information diffusion, and network robustness. Existing centrality-based and learning-based methods often provide limited integration of structural information across different network scales. To addr...