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1. BasicTS BasicTS Public

   A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

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2. STEP STEP Public

   Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

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3. STID STID Public

   Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.

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4. D2STGNN D2STGNN Public

   Code for our VLDB'22 paper Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting.

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5. GinAR GinAR Public

   Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

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6. DSformer DSformer Public

   Code for our CIKM'23 paper DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction

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