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LagNet: Lag-Structured Operators for Long-Term Time Series Forecasting
Long-term time series forecasting maps a finite history window to an extended future horizon. Many existing models focus primarily on the design of input representations and model structures, while paying less attention to the structural form of the history-to-future forecasting operator itself. We
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