A Dual-Layer Aggregation Graph Neural Network for Rapid Indoor Pollutant Dispersion Prediction
Validation across multiple building configurations demonstrates that the proposed model effectively captures physical characteristics of pollutant dispersion in distant rooms and accurately predicts toxic gas dispersion under different layouts, while delivering computational speeds approximately one order of magnitude faster than conventional CFD solvers.