Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting

1 code implementation • 16 May 2023 • Guojun Liang, Prayag Tiwari, Sławomir Nowaczyk, Stefan Byttner, Fernando Alonso-Fernandez

Also, by F1-score and probability distribution analysis, we demonstrate that DVGNN better reflects the causal relationship and uncertainty of dynamic graphs.

graph construction Spatio-Temporal Forecasting