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} }