Skip to content

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

License

Notifications You must be signed in to change notification settings

Jhon-dong/STGCN-keras

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

28 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

Follow us

Knowledge-Precipitation-Tribe

qrcode

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published