Chicago

The 'Chicago' dataset is a benchmark used to evaluate spatiotemporal prediction models, containing multivariate data related to various urban phenomena such as taxi, bike, crime, and traffic crashes.

Papers using Chicago (1)

UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction2025