COVID-19 Knowledge Graph -- Dataset for SMCDC 2021 Challenge 2
- Herrmannova, Drahomira | Oak Ridge National Laboratory
- Kannan, Ramakrishnan | Oak Ridge National Laboratory
- Lim, Seung-Hwan | Oak Ridge National Laboratory
- Potok, Thomas E | Oak Ridge National Laboratory
Overview
Description
This repository contains the data for the 2021 Smoky Mountains Computational Sciences Data Challenge (SMCDC21) Challenge 2 -- Finding Novel Links in COVID-19 Knowledge Graph. The total size of all files in this repository is 285MB. Challenge website: https://smc-datachallenge.ornl.gov/2021-challenge-2/ More information about the challenge and the data: https://github.com/ORNL/smcdc-2021-covid-kg
Funding resources
DOE contract number
ASCEND IIOriginating research organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Sponsoring organization
Office of Science (SC)Details
DOI
10.13139/OLCF/1782714Release date
May 13, 2021Dataset
Dataset type
SM Specialized MixAcknowledgements
Users should acknowledge the OLCF in all publications and presentations that speak to work performed on OLCF resources:
This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.
Category
- 60 APPLIED LIFE SCIENCES,
- 96 KNOWLEDGE MANAGEMENT AND PRESERVATION,
- 97 MATHEMATICS AND COMPUTING