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} }