Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.
Min Hou|Chang Xu|Yang Liu|Weiqing Liu|Jiang Bian|Le Wu|Zhi Li|Enhong Chen|Tie-Yan Liu
| Anthology ID: | DBLP:conf/cikm/Hou0LL0WLCL21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 700-709 |
| URL: | https://doi.org/10.1145/3459637.3482483 |
| DOI: | https://doi.org/10.1145/3459637.3482483 |
| DBLP: | conf/cikm/Hou0LL0WLCL21 |
| BibTeX: |
@inproceedings{hou-2021-stock,
author = {Min Hou and
Chang Xu and
Yang Liu and
Weiqing Liu and
Jiang Bian and
Le Wu and
Zhi Li and
Enhong Chen and
Tie-Yan Liu},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {700--709},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482483},
doi = {https://doi.org/10.1145/3459637.3482483}
}