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...
(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...
Through literature review we looked at the application of knowledge graphs in medicine, specifically at its use in drug repurposing. We also looked at literature embedding methods, integration of machine learning models and approaches to completion of knowledge graphs. Result After filtering 43 papers ...
Building on this review, we further analyzed the future research directions. To the best of our knowledge, this is the first comprehensive survey on the TKGQA task. This work aims to stimulate further research and foster innovation in the field by serving as a comprehensive reference for TKGQA...
Knowledge Representation Learning: A Quantitative Review. Preprint 2018. Lin, Yankai and Han, Xu and Xie, Ruobing and Liu, Zhiyuan and Sun, Maosong. [Paper]Knowledge graph embedding: A survey of approaches and applications. TKDE 2017. Wang, Quan and Mao, Zhendong and Wang, Bin and Guo, ...
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...
review. Fig. 1 The article selection strategy for the literature review (PRISMA model) Full size image Figure2presents the volume distribution of the selected articles over the past years, clearly showing the growing interest in this technology....
Although many works have been conducted to evaluate the dimensions of KG quality, quality control of the construction process, and enhancement methods for quality, a comprehensive literature review has not been presented on this topic. This paper intends to fill this research gap by presenting a ...
In this review, we first summarize the key technologies of knowledge graph representation and learning. Then, based on the complexity and real-time changes of power system operation and maintenance, we present multiple data processing, knowledge representation learning, and the graph construction ...
Despite the growing number of logical rule-based knowledge graph reasoning methods, a systematic classification and analysis of these approaches is lacking. In this review, we delve into the relevant research on logical rule-based knowledge graph reasoning, classifying them into four categories: ...