Are Graphs and GCNs necessary for short-term metro ridership forecasting?

Author:

Yang Qiong,Xu Xianghua,Wang ZihangORCID,Yu JuanORCID,Hu Xiaodong

Publisher

Elsevier BV

Reference55 articles.

1. Adaptive graph convolutional recurrent network for traffic forecasting;Bai,2020

2. A graph convolutional stacked bidirectional unidirectional-LSTM neural network for metro ridership prediction;Chen;IEEE Transactions on Intelligent Transportation Systems,2022

3. Bidirectional spatial-temporal adaptive transformer for urban traffic flow forecasting;Chen;IEEE Transactions on Neural Networks and Learning Systems,2023

4. On the properties of neural machine translation: Encoder–decoder approaches;Cho,2014

5. Deep bidirectional and unidirectional LSTM recurrent neural network for network-wide traffic speed prediction;Cui,2018

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