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Active Learning for Entity Alignment

Active Learning for Entity Alignment

24 January 2020
M. Berrendorf
Evgeniy Faerman
Volker Tresp
ArXivPDFHTML

Papers citing "Active Learning for Entity Alignment"

5 / 5 papers shown
Title
Understanding and Guiding Weakly Supervised Entity Alignment with
  Potential Isomorphism Propagation
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
Yuanyi Wang
Wei Tang
Haifeng Sun
Zirui Zhuang
Xiaoyuan Fu
Jingyu Wang
Qi Qi
Jianxin Liao
23
1
0
05 Feb 2024
ActiveEA: Active Learning for Neural Entity Alignment
ActiveEA: Active Learning for Neural Entity Alignment
Bing Liu
Harrisen Scells
Guido Zuccon
Wenlan Hua
Genghong Zhao
27
24
0
13 Oct 2021
An Industry Evaluation of Embedding-based Entity Alignment
An Industry Evaluation of Embedding-based Entity Alignment
Ziheng Zhang
Jiaoyan Chen
Xi Chen
Hualuo Liu
Yuejia Xiang
Bo Liu
Yefeng Zheng
AI4TS
14
39
0
22 Oct 2020
Active Learning for Graph Neural Networks via Node Feature Propagation
Active Learning for Graph Neural Networks via Node Feature Propagation
Yuexin Wu
Yichong Xu
Aarti Singh
Yiming Yang
A. Dubrawski
GNN
AI4CE
46
63
0
16 Oct 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1