GraphVAE: Unveiling Dynamic Stock Relationships with Variational Autoencoder-based Factor Modeling.
Yulong Jia|Guanxing Li|Ganlong Zhao|Xiangru Lin|Guanbin Li
| Anthology ID: | DBLP:conf/cikm/JiaLZLL24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3807-3811 |
| URL: | https://doi.org/10.1145/3627673.3679935 |
| DOI: | https://doi.org/10.1145/3627673.3679935 |
| DBLP: | conf/cikm/JiaLZLL24 |
| BibTeX: |
@inproceedings{jia-2024-graphvae,
author = {Yulong Jia and
Guanxing Li and
Ganlong Zhao and
Xiangru Lin and
Guanbin Li},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{GraphVAE: Unveiling Dynamic Stock Relationships with Variational Autoencoder-based Factor Modeling}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3807--3811},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679935},
doi = {https://doi.org/10.1145/3627673.3679935}
}