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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1997 1
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Page 1
Biological applications of knowledge graph embedding models.
Mohamed SK, Nounu A, Nováček V. Mohamed SK, et al. Brief Bioinform. 2021 Mar 22;22(2):1679-1693. doi: 10.1093/bib/bbaa012. Brief Bioinform. 2021. PMID: 32065227 Review.
In recent years, owing to the rapid advances of computational technologies, new approaches for modelling graphs and mining them with high accuracy and scalability have emerged. These approaches, i.e. knowledge graph embedding (KGE) models, operate by learning low-ra …
In recent years, owing to the rapid advances of computational technologies, new approaches for modelling graphs and mining them with high ac …
Toward better drug discovery with knowledge graph.
Zeng X, Tu X, Liu Y, Fu X, Su Y. Zeng X, et al. Curr Opin Struct Biol. 2022 Feb;72:114-126. doi: 10.1016/j.sbi.2021.09.003. Epub 2021 Oct 11. Curr Opin Struct Biol. 2022. PMID: 34649044 Review.
This process is driven by the increasing data from existing chemical libraries and data banks. The knowledge graph is introduced to the domain of drug discovery for imposing an explicit structure to integrate heterogeneous biomedical data. The graph can provide stru …
This process is driven by the increasing data from existing chemical libraries and data banks. The knowledge graph is introduc …
Knowledge graph of wastewater-based epidemiology development: A data-driven analysis based on research topics and trends.
Gao Z, Gao M, Chen CH, Zhou Y, Zhan ZH, Ren Y. Gao Z, et al. Environ Sci Pollut Res Int. 2023 Mar;30(11):28373-28382. doi: 10.1007/s11356-023-25237-9. Epub 2023 Jan 20. Environ Sci Pollut Res Int. 2023. PMID: 36662433 Free PMC article. Review.
This work can show the development of WBE more clearly by constructing a knowledge graph and also provide new ideas for the paper mining analysis methods in different fields....
This work can show the development of WBE more clearly by constructing a knowledge graph and also provide new ideas for the pa …
Knowledge graph augmentation: consistency, immutability, reliability, and context.
Takan S. Takan S. PeerJ Comput Sci. 2023 Aug 16;9:e1542. doi: 10.7717/peerj-cs.1542. eCollection 2023. PeerJ Comput Sci. 2023. PMID: 37705668 Free PMC article.
In our work, reliability, consistency, immutability, and context mechanisms are integrated into the knowledge graph to solve these deficiencies and improve the knowledge graph's performance. ...In addition, the mechanisms we have developed are kept sep …
In our work, reliability, consistency, immutability, and context mechanisms are integrated into the knowledge graph to solve t …
PlagueKD: a knowledge graph-based plague knowledge database.
Li J, Gao J, Feng B, Jing Y. Li J, et al. Database (Oxford). 2022 Nov 21;2022:baac100. doi: 10.1093/database/baac100. Database (Oxford). 2022. PMID: 36412326 Free PMC article.
To solve the above issues, the plague knowledge base is built for the first time. A database is built from the literature mining based on knowledge graph, which is capable of storing, retrieving, managing and accessing data. ...Second, the scattered plague-related k …
To solve the above issues, the plague knowledge base is built for the first time. A database is built from the literature mining based on …
Knowledge Graph Embeddings for ICU readmission prediction.
Carvalho RMS, Oliveira D, Pesquita C. Carvalho RMS, et al. BMC Med Inform Decis Mak. 2023 Jan 19;23(1):12. doi: 10.1186/s12911-022-02070-7. BMC Med Inform Decis Mak. 2023. PMID: 36658526 Free PMC article.
METHODS AND RESULTS: We have developed an approach that enriches EHR data with semantic annotations to ontologies to build a Knowledge Graph. A patient's ICU stay is represented by Knowledge Graph embeddings in a contextualized manner, which are used b …
METHODS AND RESULTS: We have developed an approach that enriches EHR data with semantic annotations to ontologies to build a Knowledge …
Knowledge graph empowerment from knowledge learning to graduation requirements achievement.
Yang Y, Chen S, Zhu Y, Zhu H, Chen Z. Yang Y, et al. PLoS One. 2023 Oct 12;18(10):e0292903. doi: 10.1371/journal.pone.0292903. eCollection 2023. PLoS One. 2023. PMID: 37824573 Free PMC article.
Based on the implementation of the concept of Outcome Based Education, we use Knowledge extraction, fusion, reasoning techniques to construct a hierarchical knowledge graph with the main line of "knowledge-course-graduation requirements. ...This new paradigm of k …
Based on the implementation of the concept of Outcome Based Education, we use Knowledge extraction, fusion, reasoning techniques to construc …
Knowledge Graph-Enabled Text-Based Automatic Personality Prediction.
Ramezani M, Feizi-Derakhshi MR, Balafar MA. Ramezani M, et al. Comput Intell Neurosci. 2022 Jun 20;2022:3732351. doi: 10.1155/2022/3732351. eCollection 2022. Comput Intell Neurosci. 2022. PMID: 35769270 Free PMC article.
Text-based Automatic Personality Prediction (APP) is the automated forecasting of the personality of individuals based on the generated/exchanged text contents. This paper presents a novel knowledge graph-enabled approach to text-based APP that relies on the Big Fiv …
Text-based Automatic Personality Prediction (APP) is the automated forecasting of the personality of individuals based on the generated/exch …
Iterative heterogeneous graph learning for knowledge graph-based recommendation.
Liu T, Shen H, Chang L, Li L, Li J. Liu T, et al. Sci Rep. 2023 Apr 28;13(1):6987. doi: 10.1038/s41598-023-33984-5. Sci Rep. 2023. PMID: 37117327 Free PMC article.
Incorporating knowledge graphs into recommendation systems has attracted wide attention in various fields recently. A Knowledge graph contains abundant information with multi-type relations among multi-type nodes. ...In this paper, we propose a new recommendation me …
Incorporating knowledge graphs into recommendation systems has attracted wide attention in various fields recently. A Knowledge gr …
Fault Knowledge Graph Construction and Platform Development for Aircraft PHM.
Meng X, Jing B, Wang S, Pan J, Huang Y, Jiao X. Meng X, et al. Sensors (Basel). 2023 Dec 30;24(1):231. doi: 10.3390/s24010231. Sensors (Basel). 2023. PMID: 38203092 Free PMC article.
The aim of the knowledge graph is to improve the correlation between fault data by representing experience. ...These modules improve the management of aircraft health data and provide a foundation for rapid knowledge graph construction and knowledge …
The aim of the knowledge graph is to improve the correlation between fault data by representing experience. ...These modules i …
1,149 results