AI RESEARCH
A Lightweight Deep Learning-based Model for Ranking Influential Nodes in Complex Networks
arXiv CS.AI
•
ArXi:2507.19702v1 Announce Type: cross Identifying influential nodes in complex networks is a critical task with a wide range of applications across different domains. However, existing approaches often face trade-offs between accuracy and computational efficiency. To address these challenges, we propose 1D-CGS, a lightweight and effective hybrid model that integrates the speed of one-dimensional convolutional neural networks (1D-CNN) with the topological representation power of GraphSAGE for efficient node ranking.