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A hybrid transformer-GNN framework for social governance and urban service allocation

Abstract The proposed study puts forward an artificial intelligence-based framework to predict the needs of the urban public services and aid resource allocation based on data in the current social governance systems. A hybrid deep learning model is designed by combining a Graph Neural Network (GNN)...

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Autors principals: Zhen Yang, Min Lu, Shitong Huang
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2026-05-01
Col·lecció:Scientific Reports
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Accés en línia:https://doi.org/10.1038/s41598-026-49982-2
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