MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph.
Xin Mao|Wenting Wang|Huimin Xu|Man Lan|Yuanbin Wu
| Anthology ID: | DBLP:conf/wsdm/MaoWXLW20 |
|---|---|
| Volume: | WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020 |
| Year: | 2020 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 420-428 |
| URL: | https://doi.org/10.1145/3336191.3371804 |
| DOI: | https://doi.org/10.1145/3336191.3371804 |
| DBLP: | conf/wsdm/MaoWXLW20 |
| BibTeX: |
@inproceedings{mao-2020-mraea,
author = {Xin Mao and
Wenting Wang and
Huimin Xu and
Man Lan and
Yuanbin Wu},
editor = {James Caverlee and
Xia Ben Hu and
Mounia Lalmas-Roelleke and
Wei Wang},
title = {{MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph}},
booktitle = {{WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020}},
pages = {420--428},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3336191.3371804},
doi = {https://doi.org/10.1145/3336191.3371804}
}