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Improving air quality assessment using physics-inspired deep graph learning

Environmental Studies and Forestry

Improving air quality assessment using physics-inspired deep graph learning

L. Li, J. Wang, et al.

Discover a groundbreaking approach to air quality assessment developed by Lianfa Li and colleagues. Their innovative hybrid multilevel graph neural network incorporates fluid physics to significantly enhance the reliability of air pollutant predictions in China, achieving a remarkable improvement in accuracy and consistency.... show more
Citation Metrics
Citations
24
Influential Citations
3
Reference Count
55
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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