Not All Imputations are Trustworthy: An Uncertainty-aware Multi-modal Entity Alignment Framework.

Weijie Wang|Shijie Luo|Xinyuan Lu|Qinpei Zhao|Weixiong Rao


Anthology ID:DBLP:conf/sigir/WangLLZR26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:4233-4237
URL:https://doi.org/10.1145/3805712.3809881
DOI:https://doi.org/10.1145/3805712.3809881
DBLP:conf/sigir/WangLLZR26
BibTeX:
@inproceedings{wang-2026-imputations, author = {Weijie Wang and Shijie Luo and Xinyuan Lu and Qinpei Zhao and Weixiong Rao}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Not All Imputations are Trustworthy: An Uncertainty-aware Multi-modal Entity Alignment Framework}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4233--4237}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809881}, doi = {https://doi.org/10.1145/3805712.3809881} }