Author

Pengran Qi

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Open access Jul 2026

MeteoGST: Meteorology-Driven Spatiotemporal Graph Learning for Epidemic Influenza Forecasting

MeteoGST is introduced, a meteorology-driven spatiotemporal graph learning framework that combines multi-scale feature extraction across seven operational meteorological variables and an anti-smoothing meta-learning adaptation for integrated meteorology-aware influenza surveillance.

Pengran Qi, Le-Ning Liang, Wenjing Li et al. · Applied Sciences · 0 citations