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REMIND: Processed Spatiotemporal Forecasting Datasets for Traffic, Energy, and Hydrology

This dataset collection provides processed data used in REMIND experiments for spatiotemporal graph forecasting across traffic, energy, and hydrology domains. When to Trust Memory: Retrieval-Guided Probabilistic Spatiotemporal Forecasting under Distribution Shift. (NeurIPS 2026) The collection contains four dataset var...