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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 net
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