HySAE: An Efficient Semantic-Enhanced Representation Learning Model for Knowledge Hypergraph Link Prediction.
Zhao Li|Xin Wang|Jun Zhao|Feng Feng|Zirui Chen|Jianxin Li
| Anthology ID: | DBLP:conf/www/LiWZFC025 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 86-97 |
| URL: | https://doi.org/10.1145/3696410.3714549 |
| DOI: | https://doi.org/10.1145/3696410.3714549 |
| DBLP: | conf/www/LiWZFC025 |
| BibTeX: |
@inproceedings{li-2025-hysae,
author = {Zhao Li and
Xin Wang and
Jun Zhao and
Feng Feng and
Zirui Chen and
Jianxin Li},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{HySAE: An Efficient Semantic-Enhanced Representation Learning Model for Knowledge Hypergraph Link Prediction}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {86--97},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714549},
doi = {https://doi.org/10.1145/3696410.3714549}
}