Abstract: Highlights•Explicitly and precisely characterize the underlying constraints between multiple time series.•Flexible and model-agnostic framework as a new inductive bias for multi-variate time series.•Consistently improve the prediction performance of various backbone prediction models empirically.
External IDs:dblp:journals/ai/LiYLZ24
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