Graph Neural Network for Traffic Forecasting: A Survey (2021-01-27T00:00:00.000000Z)

TL;DR

This survey reviews the rapidly growing body of research using different graph neural networks, e.g. graph convolutional and graph attention networks, in various traffic forecasting problems, and presents a comprehensive list of open data and source resources for each problem.

Authors

Weiwei Jiang

2 papers

Jiayun Luo

1 papers

TL;DR

Authors

References262 items

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