Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference259 articles.
1. Traffic flow prediction using graph convolution neural networks;Agafonov,2020
2. Wasserstein gan;Arjovsky,2017
3. Diffusion-convolutional neural networks;Atwood,2016
4. Bai, L., Yao, L., Kanhere, S. S., Wang, X., Liu, W., & Yang, Z. (2019). Spatio-temporal graph convolutional and recurrent networks for citywide passenger demand prediction. In Proceedings of the 28th ACM international conference on information and knowledge management (pp. 2293–2296).
5. Stg2seq: spatial-temporal graph to sequence model for multi-step passenger demand forecasting;Bai,2019
Cited by
415 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