Traffic Flow Prediction via Spatial Temporal Graph Neural Network-Reference-Cited by-同舟云学术

Traffic Flow Prediction via Spatial Temporal Graph Neural Network

Published:2020-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of The Web Conference 2020
language:
Short-container-title:

Author:

Wang Xiaoyang¹,Ma Yao²,Wang Yiqi²,Jin Wei²,Wang Xin³,Tang Jiliang²,Jia Caiyan¹,Yu Jian¹

Affiliation:

1. Beijing Jiaotong University

2. Michigan State University

3. Changchun Institute of Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366423.3380186

Reference50 articles.

1. James Atwood and Don Towsley. 2016. Diffusion-convolutional neural networks. In Advances in Neural Information Processing Systems. 1993–2001. James Atwood and Don Towsley. 2016. Diffusion-convolutional neural networks. In Advances in Neural Information Processing Systems. 1993–2001.

2. Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450(2016). Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450(2016).

3. Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203(2013). Joan Bruna Wojciech Zaremba Arthur Szlam and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arXiv preprint arXiv:1312.6203(2013).

Cited by 369 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. PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction;Expert Systems with Applications;2024-12

2. Adaptive graph neural network for traffic flow prediction considering time variation;Expert Systems with Applications;2024-12

3. Conv-RGNN: An efficient Convolutional Residual Graph Neural Network for ECG classification;Computer Methods and Programs in Biomedicine;2024-12

4. Adaptive Decision Spatio-temporal neural ODE for traffic flow forecasting with Multi-Kernel Temporal Dynamic Dilation Convolution;Neural Networks;2024-11

5. Temporal graphs anomaly emergence detection: benchmarking for social media interactions;Applied Intelligence;2024-09-12