Reinventing Node-Centric Traffic Forecasting for Improved Accuracy and Efficiency

Cite

Text

Liu et al. "Reinventing Node-Centric Traffic Forecasting for Improved Accuracy and Efficiency." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70352-2_2

Markdown

[Liu et al. "Reinventing Node-Centric Traffic Forecasting for Improved Accuracy and Efficiency." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/liu2024ecmlpkdd-reinventing/) doi:10.1007/978-3-031-70352-2_2

BibTeX

@inproceedings{liu2024ecmlpkdd-reinventing,
  title     = {{Reinventing Node-Centric Traffic Forecasting for Improved Accuracy and Efficiency}},
  author    = {Liu, Xu and Liang, Yuxuan and Huang, Chao and Hu, Hengchang and Cao, Yushi and Hooi, Bryan and Zimmermann, Roger},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {21-38},
  doi       = {10.1007/978-3-031-70352-2_2},
  url       = {https://mlanthology.org/ecmlpkdd/2024/liu2024ecmlpkdd-reinventing/}
}