Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

Min Hou, Chang Xu 0008, Yang Liu, Weiqing Liu, Jiang Bian 0002, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu. Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. In Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong, editors, CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. pages 700-709, ACM, 2021. [doi]

@inproceedings{Hou0LL0WLCL21,
  title = {Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion},
  author = {Min Hou and Chang Xu 0008 and Yang Liu and Weiqing Liu and Jiang Bian 0002 and Le Wu and Zhi Li and Enhong Chen and Tie-Yan Liu},
  year = {2021},
  doi = {10.1145/3459637.3482483},
  url = {https://doi.org/10.1145/3459637.3482483},
  researchr = {https://researchr.org/publication/Hou0LL0WLCL21},
  cites = {0},
  citedby = {0},
  pages = {700-709},
  booktitle = {CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021},
  editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong},
  publisher = {ACM},
  isbn = {978-1-4503-8446-9},
}