Soft Marginal TransE for Scholarly Knowledge Graph Completion.pdf下载

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.