Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data.
Jiacheng Huang|Yao Zhao|Wei Hu|Zhen Ning|Qijin Chen|Xiaoxia Qiu|Chengfu Huo|Weijun Ren
| Anthology ID: | DBLP:conf/www/HuangZ0NCQHR22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 956-965 |
| URL: | https://doi.org/10.1145/3485447.3511938 |
| DOI: | https://doi.org/10.1145/3485447.3511938 |
| DBLP: | conf/www/HuangZ0NCQHR22 |
| BibTeX: |
@inproceedings{huang-2022-trustworthy,
author = {Jiacheng Huang and
Yao Zhao and
Wei Hu and
Zhen Ning and
Qijin Chen and
Xiaoxia Qiu and
Chengfu Huo and
Weijun Ren},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {956--965},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3511938},
doi = {https://doi.org/10.1145/3485447.3511938}
}