In Search for a Cure: Recommendation With Knowledge Graph on CORD-19

@article{Shen2020InSF,
  title={In Search for a Cure: Recommendation With Knowledge Graph on CORD-19},
  author={Iris Shen and Le Zhang and Jianxun Lian and Chieh-Han Wu and Miguel Gonz{\'a}lez-Fierro and Andreas Argyriou and Tao Wu},
  journal={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
  year={2020}
}
  • Iris Shen, Le Zhang, +4 authors Tao Wu
  • Published 23 August 2020
  • Computer Science
  • Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
The whole globe has cranked up for coping with the COVID-19 situation. The hands-on tutorial targets at providing a comprehensive and pragmatic end-to-end walk-through for building an academic research paper recommender for the use case of COVID-19 related study, with the help of knowledge graph technology. The code examples that demonstrate the theories are reproducible and can hopefully provide value for researchers to build tools that support conducting research to find a cure to COVID-19. 
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