PedalMe

Spatiotemporal forecasting benchmarks criticized for bias, favoring linear models

A new paper critically examines common benchmark datasets and baselines used for spatiotemporal forecasting with graph neural networks (GNNs). The research highlights that spatially unaware linear models often perform c…