A Contextual Alignment Enhanced Cross Graph Attention Network for Cross-lingual Entity Alignment

no code implementations • COLING 2020 • Zhiwen Xie, Runjie Zhu, Kunsong Zhao, Jin Liu, Guangyou Zhou, Jimmy Xiangji Huang

In this paper, we propose a novel Contextual Alignment Enhanced Cross Graph Attention Network (CAECGAT) for the task of cross-lingual entity alignment, which is able to jointly learn the embeddings in different KGs by propagating cross-KG information through pre-aligned seed alignments.

Entity Alignment Graph Attention