Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis

2021 IEEE International Conference on Big Data, Big Data 2021 ; : 4381-4386, 2021.

Article in English | Scopus | ID: covidwho-1730902

Keywords

COVID-19; knowledge graph; visualization; Graph theory; Predictive analytics; All pairs shortest paths; Concept networks; Coronavirus disease 2019; Coronaviruses; Edge weights; Knowledge graphs; Path-based; Relationship between concepts; Visual analytics; Weight schemes; Coronavirus

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 2021 IEEE International Conference on Big Data, Big Data 2021 Year: 2021 Document Type: Article

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