04:00
2026-09-07
machinebrief.com
machine-learning
Predicting Spatiotemporal Mobile Sensing-Based PM2.5 Concentrations Using Low-Rank Adapted Spatially Attentive Graph Neural Network
Researchers introduced SA-GNN, a low-rank adapted spatially attentive graph neural network, achieving R² = 0.95, RMSE = 6.8, and MAE = 4.2 µg/m³ for fine-grained PM2.5 forecasting on a new mobile-sens…