An interpretable station delay prediction model based on graph community neural network and time-series fuzzy decision tree

HIGHLIGHTS

• who: -Fuzzy decision tree et al. from the (UNIVERSITY) have published the paper: An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree, in the Journal: (JOURNAL)
• what: Focusing on the above challenges, the authors propose a new interpretable C-MATGCN (Interpretable Multi-attention Graph Convolutional Network Based on Community Detection) model. The authors propose a multi-attention structured 2D or 3D data, while the data on the train operation mechanism to deal with the spatiotemporal characteristics and network is non-European. external factors. At the end . . .
  

   

  

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