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

Last update: Dec 28, 2022

Overview

Graph Neural Controlled Differential Equations for Traffic Forecasting

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

Owner

Jeongwhan Choi

be /ˈhəmbəl/

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

Related tags

Overview

Graph Neural Controlled Differential Equations for Traffic Forecasting

Setup Python environment for STG-NCDE

Reproducibility

Usage

In terminal

Owner

Jeongwhan Choi

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