Jhon-dong / STGCN-keras

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting implementation with keras

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STGCN-keras

This is a Keras implementation of Spatio-Temporal Graph Convolutional Networks(STGCN) model from the paper "Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting"

Detailed analysis:STGCN

Model architecture

system_architecture

Requirements:

  • numpy 1.14.2
  • python 3

Usage

$ python main.py

Code Organization

  • main.py:

Reference

Yu B, Yin H, Zhu Z. Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting[J]. arXiv preprint arXiv:1709.04875, 2017.

Other implementations

[1] TensorFlow:VeritasYin/STGCN_IJCAI-18

[2] mxnet:Davidham3/STGCN

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Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting implementation with keras

License:MIT License


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Language:Python 64.7%Language:Jupyter Notebook 35.3%