Temporal Hierarchical Graph Attention Network for Traffic Prediction with Prompt Learning-Reference-Cited by-同舟云学术

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Temporal Hierarchical Graph Attention Network for Traffic Prediction with Prompt Learning

Published:2024-05-27 Issue: Volume:9 Page:1460-1465
ISSN:
Container-title:2024 International Wireless Communications and Mobile Computing (IWCMC)
language:
Short-container-title:

Author:

Li Cheng¹,Lai Pei-Yuan²,Zhou Yu-Xuan³,Wang Chang-Dong⁴

Affiliation:

1. Macau University of Science and Technology,Faculty of Innovation Engineering,Macau,China

2. South China Technology Commercialization Center,Guangzhou,China

3. Beijing Normal University - Hong Kong Baptist University United International College,Zhuhai,China

4. Sun Yat-Sen University,School of Computer Science and Engineering,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592105/10592309/10592462.pdf?arnumber=10592462

Reference17 articles.

1. Spatio-temporal hierarchical MLP network for traffic forecasting

2. Temporal Metrics Based Aggregated Graph Convolution Network for traffic forecasting

3. Heterogeneous Modular Traffic Prediction Based on Multilayer Graph Convolutional Network

4. TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting

5. Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method

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