Integrating Structure and Text for Enhancing Hyper-relational Knowledge Graph Representation via Structure Soft Prompt Tuning.
Lijie Li|Hui Wang|Jiahang Li|Xiaodi Xu|Ye Wang|Tao Ren
| Anthology ID: | DBLP:conf/cikm/LiWLXW024 |
|---|---|
| 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: | 1226-1234 |
| URL: | https://doi.org/10.1145/3627673.3679698 |
| DOI: | https://doi.org/10.1145/3627673.3679698 |
| DBLP: | conf/cikm/LiWLXW024 |
| BibTeX: |
@inproceedings{li-2024-integrating,
author = {Lijie Li and
Hui Wang and
Jiahang Li and
Xiaodi Xu and
Ye Wang and
Tao Ren},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Integrating Structure and Text for Enhancing Hyper-relational Knowledge Graph Representation via Structure Soft Prompt Tuning}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1226--1234},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679698},
doi = {https://doi.org/10.1145/3627673.3679698}
}