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} }