Popular GitHub Repositories for Spatio Temporal Data

[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"

PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning

Graph Neural Networks utilization for Spatiotemporal graphs. These methods will be applied into the problem of forecasting traffic flow on PEMS-Bay, METR-LA and Seattle Loop Datasets

multi-step ahead forecasting of spatio-temporal data

traffic flow prediction

"Evaluation procedures for forecasting with spatio-temporal data" -- ECML 2018

Universal graph neural networks for multi-task transfer learning

Code for "Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks" accepted by TMLR 2023

traffic flow prediction

traffic flow prediction

traffic flow prediction