Skip to content

Latest commit

 

History

History
6 lines (4 loc) · 486 Bytes

File metadata and controls

6 lines (4 loc) · 486 Bytes

Dynamic spatio-temporal graph network with adaptive propagation mechanism for multivariate time series forecasting

This is the original pytorch implementation of DSTGN in the following paper: [Dynamic spatio-temporal graph network with adaptive propagation mechanism for multivariate time series forecasting, ESWA 2023] (https://www.sciencedirect.com/science/article/abs/pii/S0957417422023922).

The code was submitted to CodeOcean