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Jan, 2022
时间知识图谱补全：综述
Temporal Knowledge Graph Completion: A Survey
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Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li...
TL;DR
本研究首次总结了时间知识图补全方法的研究进展，包括背景、基准数据集、评估指标以及现有方法，旨在解决静态知识图补全方法的不准确问题。未来的研究方向也在文章中提出。
Abstract
knowledge graph completion
(KGC) can predict missing links and is crucial for real-world knowledge graphs, which widely suffer from incompleteness. KGC methods assume a knowledge graph is static, but that may lead to inaccurate
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