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EchoEA: Echo Information between Entities and Relations for Entity Alignment [article]

Xueyuan Lin, Haihong E, Wenyu Song, Haoran Luo
2021 arXiv   pre-print
In this paper, we propose a novel framework, Echo Entity Alignment (EchoEA), which leverages 4-levels self-attention mechanism to spread entity information to relations and echo back to entities.  ...  Recent approaches based on Graph Neural Network (GNN) obtain entity representation from relation information and have achieved promising results.  ...  To the opposite, our Echo model is built with four levels attention networks and it further utilises relation information by echoing information between entities and relations.  ... 
arXiv:2107.03054v2 fatcat:niq7ycsf4nfexbrlcahfpezgta

Abstracts of Papers to Be Presented at the 35th Annual Scientific Session of the American College of Cardiology, Atlanta, Georgia, March 9–13, 1986

1986 Journal of the American College of Cardiology  
Many excellent contributions were received for this year's competition, and we appreciate your support and interest.  ...  Acceptance for presentation was based on the relative grade ranking in each of the 26 categories.  ...  Median time between onset of symptoms and recanalization was 200 min and the infarct related patency was 85%.  ... 
doi:10.1016/s0735-1097(86)80018-3 fatcat:e2fcy56dineudjqvahp7hnkkc4