ReliK: A Reliability Measure for Knowledge Graph Embeddings.
Maximilian K. Egger|Wenyue Ma|Davide Mottin|Panagiotis Karras|Ilaria Bordino|Francesco Gullo|Aris Anagnostopoulos
| Anthology ID: | DBLP:conf/www/EggerMMKBGA24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2009-2019 |
| URL: | https://doi.org/10.1145/3589334.3645430 |
| DOI: | https://doi.org/10.1145/3589334.3645430 |
| DBLP: | conf/www/EggerMMKBGA24 |
| BibTeX: |
@inproceedings{egger-2024-relik,
author = {Maximilian K. Egger and
Wenyue Ma and
Davide Mottin and
Panagiotis Karras and
Ilaria Bordino and
Francesco Gullo and
Aris Anagnostopoulos},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{ReliK: A Reliability Measure for Knowledge Graph Embeddings}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {2009--2019},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645430},
doi = {https://doi.org/10.1145/3589334.3645430}
}