A position paper that defines what a spatio-temporal foundation model should be, identifies four required forms of generalization, and concludes that current models only partially meet them.
A graph cnn-lstm neural network for short and long-term traffic forecasting based on trajectory data
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Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities
A position paper that defines what a spatio-temporal foundation model should be, identifies four required forms of generalization, and concludes that current models only partially meet them.