GitHub - wangxianggit/ST-GWCN: A traffic flow prediction model based on graph wavelet convolution network and gated temporal convolution network · GitHub

8000 GitHub - wangxianggit/ST-GWCN: A traffic flow prediction model based on graph wavelet convolution network and gated temporal convolution network · GitHub

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ST-GWCN
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A traffic flow prediction model based on graph wavelet convolution network and gated temporal convolution network
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config
config

figure
figure

model
model

script
script

README.md
README.md

data.csv
data.csv

lossquxian.py
lossquxian.py

main_road_traffic.py
main_road_traffic.py

requirements.txt
requirements.txt

test.py
test.py

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README
Related works

TCN: An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

GLU and GTU: Language Modeling with Gated Convolutional Networks

ChebyNet: Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Related code

TCN: https://github.com/locuslab/TCN

ChebyNet: https://github.com/mdeff/cnn_graph

Dataset

Source

METR-LA: DCRNN author's Google Drive

PEMS-BAY: DCRNN author's Google Drive

PeMSD7(M): STGCN author's GitHub repository

After prepare dataset, run: python main_road_traffic.py

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A traffic flow prediction model based on graph wavelet convolution network and gated temporal convolution network
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