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ST-TIS (Spatial-Temporal Transformer with Information Fusion and Region Sampling)

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Implementation of the paper A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting.

Thanks for your attention to this work. More details will be released soon.

Installation

Requirements

  • Python 3.7 (Recommend Anaconda)
  • pytorch 1.8.1

Description

  • The data are available in the '/data', which is from the prior work STDN.
  • Run with "python train.py" to train the model.

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