Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets.
Xuhui Jiang|Chengjin Xu|Yinghan Shen|Yuanzhuo Wang|Fenglong Su|Zhichao Shi|Fei Sun|Zixuan Li|Jian Guo|Huawei Shen
| Anthology ID: | DBLP:conf/www/JiangXSWSSSLGS24 |
|---|---|
| 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: | 2325-2336 |
| URL: | https://doi.org/10.1145/3589334.3645720 |
| DOI: | https://doi.org/10.1145/3589334.3645720 |
| DBLP: | conf/www/JiangXSWSSSLGS24 |
| BibTeX: |
@inproceedings{jiang-2024-toward,
author = {Xuhui Jiang and
Chengjin Xu and
Yinghan Shen and
Yuanzhuo Wang and
Fenglong Su and
Zhichao Shi and
Fei Sun and
Zixuan Li and
Jian Guo and
Huawei Shen},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {2325--2336},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645720},
doi = {https://doi.org/10.1145/3589334.3645720}
}