SEEK: Segmented Embedding of Knowledge Graphs

ACL 2020 Wentao XuShun ZhengLiang HeBin ShaoJian YinTie-Yan Liu

In recent years, knowledge graph embedding becomes a pretty hot research topic of artificial intelligence and plays increasingly vital roles in various downstream applications, such as recommendation and question answering. However, existing methods for knowledge graph embedding can not make a proper trade-off between the model complexity and the model expressiveness, which makes them still far from satisfactory... (read more)

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