Research on City Traffic Flow Forecast Based on Graph Convolutional Neural Network-Reference-Cited by-同舟云学术

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Research on City Traffic Flow Forecast Based on Graph Convolutional Neural Network

Published:2021-03-26 Issue: Volume: Page:
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Container-title:2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)
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Author:

Hu Yaohui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9389818/9389819/09389951.pdf?arnumber=9389951

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graph neural network-based attention mechanism to classify spam review over heterogeneous social networks;The Journal of Supercomputing;2024-08-29

2. MVHS-LSTM: The Comprehensive Traffic Flow Prediction Based on Improved LSTM via Multiple Variables Heuristic Selection;Applied Sciences;2024-03-31

3. Joint Network Expansion Planning With Internet Data Center and Charging Stations for EV Sharing System;IEEE Transactions on Industrial Informatics;2024

4. Modeling multi-regional temporal correlation with gated recurrent unit and multiple linear regression for urban traffic flow prediction;Knowledge-Based Systems;2023-02

5. High Performance Design of Traffic-Flow Prediction Using Artificial Neural Network;2022 International Conference on Microelectronics (ICM);2022-12-04

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