Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings.

Kai Wang|Yu Liu|Quan Z. Sheng


Anthology ID:DBLP:conf/www/Wang0S22
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:838-849
URL:https://doi.org/10.1145/3485447.3511927
DOI:https://doi.org/10.1145/3485447.3511927
DBLP:conf/www/Wang0S22
BibTeX:
@inproceedings{wang-2022-swift, author = {Kai Wang and Yu Liu and Quan Z. Sheng}, 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 = {{Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {838--849}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3511927}, doi = {https://doi.org/10.1145/3485447.3511927} }