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cs.LG2023
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching
Feng Xie, Xin Song, Xiang Zeng +4
Semi-supervised entity alignment (EA) is a practical and challenging task because of the lack of adequate labeled mappings as training data. Most works address this problem by gene…
cs.LG2023★ 1 cited
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning
Lei Tian, Yongqiang Tang, Liangchen Hu +1
Domain adaptation manages to transfer the knowledge of well-labeled source data to unlabeled target data. Many recent efforts focus on improving the prediction accuracy of target p…