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DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting
Spatio-temporal forecasting remains challenging under non-stationary environments because both data distributions and spatial relations evolve over time. Temporal normalization and de-normalization are widely used to mitigate distribution shifts, but they may distort inter-node relationships and the
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