Recurrent Multi-task Graph Convolutional Networks for COVID-19 Knowledge Graph Link Prediction

Remington Kim, Yue Ning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Knowledge graphs (KGs) are a way to model data involving intricate relations between a number of entities. Understanding the information contained in KGs and predicting what hidden relations may be present can provide valuable domain-specific knowledge. Thus, we use data provided by the 5th Annual Oak Ridge National Laboratory Smoky Mountains Computational Sciences Data Challenge 2 as well as auxiliary textual data processed with natural language processing techniques to form and analyze a COVID-19 KG of biomedical concepts and research papers. Moreover, we propose a recurrent graph convolutional network model that predicts both the existence of novel links between concepts in this COVID-19 KG and the time at which the link will form. We demonstrate our model’s promising performance against several baseline models. The utilization of our work can give insights that are useful in COVID-19-related fields such as drug development and public health. All code for our paper is publicly available at https://github.com/RemingtonKim/SMCDC2021.

Original languageEnglish
Title of host publicationDriving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation - 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Revised Selected Papers
Editors[given-name]Jeffrey Nichols, [given-name]Arthur ‘Barney’ Maccabe, James Nutaro, Swaroop Pophale, Pravallika Devineni, Theresa Ahearn, Becky Verastegui
Pages411-419
Number of pages9
DOIs
StatePublished - 2022
Event21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021 - Virtual, Online
Duration: 18 Oct 202120 Oct 2021

Publication series

NameCommunications in Computer and Information Science
Volume1512 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021
CityVirtual, Online
Period18/10/2120/10/21

Keywords

  • COVID-19 knowledge graph
  • Link prediction
  • Multi-task learning
  • Recurrent graph convolutional networks

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