Zamini M, Reza H, Rabiei M. A Review of Knowledge Graph Completion. Information. 2022; 13(8):396. 概述 Current real-world knowledge graphs are usuallyincompleteand need aninference engineto predict links andcomplete the missing factsamong entities available in the KG. Relation classific...
We also review the related applications of knowledge graph reasoning, such as knowledge graph completion, question answering, and recommender systems. Finally,... X Chen,S Jia,Y Xiang - 《Expert Systems with Application》 被引量: 0发表: 2020年 Knowledge Representation Learning: A Quantitative Rev...
(1)We provide a comprehensive review of the knowledge graph covering overall research topics. (2)We propose a full-view categorization and new taxonomies on these topics. (3)We further explore several emerging topics. (4)we also provide a curated collection of data sets and open-source l...
We also review the related applications of knowledge graph reasoning, such as knowledge graph completion, question answering, and recommender systems. Finally, we discuss the remaining challenges and research opportunities for knowledge graph reasoning....
, Germany)) is called knowledge graph completion (KGC). An example of it can be seen in Figure 1. Figure 1. Sample KG where there exists a missing edge between the two nodes. A common approach in link prediction and knowledge graph completion is via embedding into vector spaces to ...
A review of knowledge graph completion. Artif. Intell. 2022, 8, 396. [Google Scholar] [CrossRef] Liu, J.; Huang, W.; Li, T. Cross-domain knowledge graph chiasmal embedding for multi-domain item-item recommendation. IEEE Trans. Knowl. Data Eng. 2022, 35, 4621–4633. [Google Scholar...
M. Nickel, K. Murphy, V. Tresp, and E. Gabrilovich, “A review of relational machine learning for knowledge graphs,” Proc. IEEE, vol. 104, no. 1, pp. 11–33, 2016 封闭世界的假设有几个明显的缺点: 首先,它不适用于不完整的KG,但大多数真实的KG是高度不完整的。在这种情况下,开放世界假...
Knowledge graph refinement: A survey of approaches and evaluation methods. Semantic Web 2017. Paulheim, Heiko. [Paper]A review of relational machine learning for knowledge graphs. Proceedings of the IEEE 2015. Nickel, Maximilian and Murphy, Kevin and Tresp, Volker and Gabrilovich, Evgeniy. [Paper...
Knowledge graph completion is the task of inferring missing facts from existing data in a knowledge graph. Currently, most domain knowledge completion models model the relationships between entities and relations. It has been found that enhancing the feature interaction between entities and relations can...
It can benefit a variety of downstream tasks such as KG completion and relation extraction, and hence has quickly gained massive attention. In this article, we provide a systematic review of existing techniques, including not only the state-of-the-arts but also those with latest trends. ...