Skip to content

jeongwhanchoi/STG-NCDE

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Graph Neural Controlled Differential Equations for Traffic Forecasting

GitHub Repo stars Twitter Follow Arxiv linkHits

PWC PWC PWC PWC PWC PWC

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

Star History

Star History Chart