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Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case

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Title: Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case
Authors: Hamed, Ahmed Abdeen, Jonczyk, Jakub, Alam, Mohammad Zaiyan, Deelman, Ewa, Lee, Byung Suk
Source: 2022 IEEE International Conference on Knowledge Graph (ICKG) ICKG Knowledge Graph (ICKG), 2022 IEEE International Conference on. :79-86 Nov, 2022
Relation: 2022 IEEE International Conference on Knowledge Graph (ICKG)
Database: IEEE Xplore Digital Library
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  Data: 2022 IEEE International Conference on Knowledge Graph (ICKG) ICKG Knowledge Graph (ICKG), 2022 IEEE International Conference on. :79-86 Nov, 2022
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/ICKG55886.2022.00018
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        PageCount: 8
        StartPage: 79
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      – TitleFull: Mining Literature-Based Knowledge Graph for Predicting Combination Therapeutics: A COVID-19 Use Case
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            NameFull: Hamed, Ahmed Abdeen
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            NameFull: Jonczyk, Jakub
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            NameFull: Alam, Mohammad Zaiyan
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            NameFull: Deelman, Ewa
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            NameFull: Lee, Byung Suk
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          Dates:
            – D: 01
              M: 11
              Type: published
              Y: 2022
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              Value: 9781665451017
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            – TitleFull: 2022 IEEE International Conference on Knowledge Graph (ICKG), Knowledge Graph (ICKG), 2022 IEEE International Conference on, ICKG
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