Implementation of Heterogeneous Graph Attention Network

Last update: Dec 28, 2021

Related tags

Deep Learning HetGAN

Overview

HetGAN

Implementation of Heterogeneous Graph Attention Network

This is the code repository of paper "Prediction of Metro Ridership During the COVID-19 Pandemic: A Deep Learning Approach Based on Heterogeneous Graph" which is submitted to Transportation Rsearch Part C: Emgerging Technologies.

Datasets

New York City COVID case number
New York City Metro Ridership Number

Model Framework

How to Run?

Single run:

cd Experiments/
python main.py --epoch 200 --seed 1230 --log_file='./logs/running_log.log'

Grid Search:

cd Experiments/
python grid_search.py --epoch 200 --seed 1230 --log_file='./logs/grid_search.log'

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Owner

GitHub

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Implementation of Heterogeneous Graph Attention Network

Related tags

Overview

HetGAN

Datasets

Model Framework

How to Run?

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