文件名称：Soft Marginal TransE for Scholarly Knowledge Graph Completion.pdf
文件大小：312KB
文件格式：PDF
更新时间：2022-08-29 09:03:53
KG
Abstract. Knowledge graphs (KGs), i.e. representation of information as a semantic graph, provide a significant test bed for many tasks including question answering, recommendation, and link prediction. Various amount of scholarly metadata have been made available as knowledge graphs from the diversity of data providers and agents.