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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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Uloženo v:
Hlavní autoři: Zhen Yang, Min Lu, Shitong Huang
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Portfolio 2026-05-01
Edice:Scientific Reports
Témata:
Social governance
Artificial intelligence
Transformer
Graph Neural Network (GNN)
Hybrid deep learning
Improved heap-based optimizer
On-line přístup:https://doi.org/10.1038/s41598-026-49982-2
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