Skip to content

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

License

Notifications You must be signed in to change notification settings

Tsingzao/STG-NCDE

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Graph Neural Controlled Differential Equations for Traffic Forecasting

Arxiv link

Introduction

This is the repository of our accepted AAAI 2022 paper "Graph Neural Controlled Differential Equations for Traffic Forecasting". Paper is available on arxiv.

Citation

If you find this code useful, you may cite us as:

@inproceedings{choi2022STGNCDE,
  title={Graph Neural Controlled Differential Equations for Traffic Forecasting},
  author={Jeongwhan Choi AND Hwangyong Choi AND Jeehyun Hwang AND Noseong Park},
  booktitle={AAAI},
  year={2022}
}

Setup Python environment for STG-NCDE

Install python environment

$ conda env create -f environment.yml 

Reproducibility

Usage

In terminal

  • Run the shell file (at the root of the project)
$ bash run.sh
  • Run the python file (at the model folder)
$ cd model

$ python Run_cde.py --dataset='PEMSD4' --model='GCDE' --model_type='type1' --embed_dim=10 --hid_dim=64 --hid_hid_dim=64 --num_layers=2 --lr_init=0.001 --weight_decay=1e-3 --epochs=200 --tensorboard --comment="" --device=0

About

"Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.8%
  • Shell 0.2%