Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness.

Xin Mao|Wenting Wang|Yuanbin Wu|Man Lan


Anthology ID:DBLP:conf/cikm/MaoWWL21
Volume:CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Year:2021
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1263-1273
URL:https://doi.org/10.1145/3459637.3482232
DOI:https://doi.org/10.1145/3459637.3482232
DBLP:conf/cikm/MaoWWL21
BibTeX:
@inproceedings{mao-2021-negative, author = {Xin Mao and Wenting Wang and Yuanbin Wu and Man Lan}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {1263--1273}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482232}, doi = {https://doi.org/10.1145/3459637.3482232} }