Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach

Cite

Text

He et al. "Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021. doi:10.1007/978-3-030-86486-6_20

Markdown

[He et al. "Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021.](https://mlanthology.org/ecmlpkdd/2021/he2021ecmlpkdd-holistic/) doi:10.1007/978-3-030-86486-6_20

BibTeX

@inproceedings{he2021ecmlpkdd-holistic,
  title     = {{Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach}},
  author    = {He, Bingjie and Li, Shukai and Zhang, Chen and Zheng, Baihua and Tsung, Fugee},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2021},
  pages     = {321-336},
  doi       = {10.1007/978-3-030-86486-6_20},
  url       = {https://mlanthology.org/ecmlpkdd/2021/he2021ecmlpkdd-holistic/}
}