JG2Time: A Learned Time Estimator for Join Operators Based on Heterogeneous Join-Graphs

Hao Miao, Jiazun Chen, Yang Lin, Mo Xu, Yinjun Han, Jun Gao. JG2Time: A Learned Time Estimator for Join Operators Based on Heterogeneous Join-Graphs. In Xin Wang 0030, Maria Luisa Sapino, Wook-Shin Han, Amr El Abbadi, Gill Dobbie, Zhiyong Feng 0002, Yingxiao Shao, Hongzhi Yin, editors, Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part I. Volume 13943 of Lecture Notes in Computer Science, pages 132-147, Springer, 2023. [doi]

@inproceedings{MiaoCLXHG23,
  title = {JG2Time: A Learned Time Estimator for Join Operators Based on Heterogeneous Join-Graphs},
  author = {Hao Miao and Jiazun Chen and Yang Lin and Mo Xu and Yinjun Han and Jun Gao},
  year = {2023},
  doi = {10.1007/978-3-031-30637-2_9},
  url = {https://doi.org/10.1007/978-3-031-30637-2_9},
  researchr = {https://researchr.org/publication/MiaoCLXHG23},
  cites = {0},
  citedby = {0},
  pages = {132-147},
  booktitle = {Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Tianjin, China, April 17-20, 2023, Proceedings, Part I},
  editor = {Xin Wang 0030 and Maria Luisa Sapino and Wook-Shin Han and Amr El Abbadi and Gill Dobbie and Zhiyong Feng 0002 and Yingxiao Shao and Hongzhi Yin},
  volume = {13943},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-30637-2},
}