TESSM: Tree-based Selective State Space Models for Efficient Join Order Selection Learning.
Yaohui Chu|Yizhe Liu|Yue Zhang|Xuan Hou|Longfei Yu|Zhaohui Peng
| Anthology ID: | DBLP:conf/cikm/ChuLZHYP24 |
|---|---|
| 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: | 374-383 |
| URL: | https://doi.org/10.1145/3627673.3679742 |
| DOI: | https://doi.org/10.1145/3627673.3679742 |
| DBLP: | conf/cikm/ChuLZHYP24 |
| BibTeX: |
@inproceedings{chu-2024-tessm,
author = {Yaohui Chu and
Yizhe Liu and
Yue Zhang and
Xuan Hou and
Longfei Yu and
Zhaohui Peng},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{TESSM: Tree-based Selective State Space Models for Efficient Join Order Selection Learning}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {374--383},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679742},
doi = {https://doi.org/10.1145/3627673.3679742}
}