FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph

Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei 0001. FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph. In Gianmarco De Francisci Morales, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi, editors, Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII. Volume 14175 of Lecture Notes in Computer Science, pages 174-191, Springer, 2023. [doi]

@inproceedings{LiuLZW23,
  title = {FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph},
  author = {Zhanyu Liu and Chumeng Liang and Guanjie Zheng and Hua Wei 0001},
  year = {2023},
  doi = {10.1007/978-3-031-43430-3_11},
  url = {https://doi.org/10.1007/978-3-031-43430-3_11},
  researchr = {https://researchr.org/publication/LiuLZW23},
  cites = {0},
  citedby = {0},
  pages = {174-191},
  booktitle = {Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII},
  editor = {Gianmarco De Francisci Morales and Claudia Perlich and Natali Ruchansky and Nicolas Kourtellis and Elena Baralis and Francesco Bonchi},
  volume = {14175},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-43430-3},
}