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Augmenting a COVID-19 Research Knowledge Graph with Influential Papers Prediction.

, , and . SEMANTiCS (Posters & Demos), volume 3235 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)

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Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph, , , , , and . J. Biomed. Semant., 14 (1): 18 (2023)Ontologies Supporting Research-Related Information Foraging Using Knowledge Graphs: Literature Survey and Holistic Model Mapping., , , and . EKAW, volume 12387 of Lecture Notes in Computer Science, page 88-103. Springer, (2020)TeKET: a Tree-Based Unsupervised Keyphrase Extraction Technique., , , , and . Cogn. Comput., 12 (4): 811-833 (2020)Ontologies Supporting Research-Related Information Foraging Using Knowledge Graphs: Literature Survey and Holistic Model Mapping, , , and . International Conference on Knowledge Engineering and Knowledge Management, page 88--103. Springer, (2020)Multi-class classification of COVID-19 documents using machine learning algorithms., and . J. Intell. Inf. Syst., 60 (2): 571-591 (April 2023)OReCaP - Towards Ontology Reuse via Focused Categorization Power., , , and . ISWC (Demos/Industry), volume 2721 of CEUR Workshop Proceedings, page 295-300. CEUR-WS.org, (2020)Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph., , , , , and . J. Biomed. Semant., 14 (1): 18 (December 2023)Why was this cited? Explainable machine learning applied to COVID-19 research literature., , , , and . Scientometrics, 127 (5): 2313-2349 (2022)Augmenting a COVID-19 Research Knowledge Graph with Influential Papers Prediction., , and . SEMANTiCS (Posters & Demos), volume 3235 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)A Flexible Keyphrase Extraction Technique for Academic Literature., , , , and . ICCSCI, volume 135 of Procedia Computer Science, page 553-563. Elsevier, (2018)