HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks.
Chenxu Wang|Xin Wang|Zhao Li|Zirui Chen|Jianxin Li
| Anthology ID: | DBLP:conf/www/WangWLC023 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 188-198 |
| URL: | https://doi.org/10.1145/3543507.3583256 |
| DOI: | https://doi.org/10.1145/3543507.3583256 |
| DBLP: | conf/www/WangWLC023 |
| BibTeX: |
@inproceedings{wang-2023-hyconve,
author = {Chenxu Wang and
Xin Wang and
Zhao Li and
Zirui Chen and
Jianxin Li},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {188--198},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583256},
doi = {https://doi.org/10.1145/3543507.3583256}
}