Context Knowledge graph extracted from 14,229 papers and 6217 abstracts from the [CORD-19 Dataset](https://pages.semanticscholar.org/coronavirus-research). Data taken from the [University of Illinois Urbana-Champaign](http://blender.cs.illinois.edu/covid19/) with permission from the authors: Qingyun Wang (UIUC), Heng Ji (UIUC), Jiawei Han (UIUC), Shih-Fu Chang (Columbia), Kyunghyun Cho (NYU) Content The Knowledge Graph follows the ontology introduced in the [Comparative Toxicogenomics Database](http://ctdbase.org/). It's comprised of 50,752 Gene nodes, 10,781 Disease nodes, 5,738 Chemical nodes, and 535 Organism nodes. These nodes are connected by 133 relation types including Gene–Chemical–Interaction Relationships, Chemical–Disease Associations, Gene–Disease Associations, Chemical–GO Enrichment Associations and Chemical–Pathway Enrichment Associations. Entities also play some certain roles in 13 Event types, including Gene expression, Transcription, Localization, Protein catabolism , Binding, Protein modification, Phosphorylation , Ubiquitination, Acetylation, Deacetylation, Regulation, Positive regulation, Negative regulation. Acknowledgements This work was created by Qingyun Wang (UIUC), Heng Ji (UIUC), Jiawei Han (UIUC), Shih-Fu Chang (Columbia), Kyunghyun Cho (NYU) Their research is based upon work supported in part by U.S. DARPA KAIROS Program No. FA8750-19-2-1004, U.S. DARPA AIDA Program # FA8750-18-2-0014 and U.S. NSF No. 1741634. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of DARPA, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright annotation therein.