tutorial

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

Authors:

Miguel Gonzalez Fierro,

Andreas Argyriou,

Tao WuAuthors Info & Claims

KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Pages 3519 - 3520

https://doi.org/10.1145/3394486.3406711

Published: 20 August 2020 Publication History

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Abstract

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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Cited By

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Wu YPan XLi JDou SDong JWei D(2024)Knowledge Graph-Based Hierarchical Text Semantic RepresentationInternational Journal of Intelligent Systems10.1155/2024/55832702024Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1155/2024/5583270
CB AMahesh KSanda N(2023)Ontology-based semantic data interestingness using BERT modelsConnection Science10.1080/09540091.2023.219049935:1Online publication date: 11-Apr-2023
https://doi.org/10.1080/09540091.2023.2190499
Sun KLi WSaikrishna VChadhar MXia F(2022)COVID-19 datasets: A brief overviewComputer Science and Information Systems10.2298/CSIS210822014S19:3(1115-1132)Online publication date: 2022
https://doi.org/10.2298/CSIS210822014S
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Index Terms

In Search for a Cure: Recommendation With Knowledge Graph on CORD-19
1. Information systems

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Information

Published In

KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

August 2020

3664 pages

ISBN:9781450379984

DOI:10.1145/3394486

General Chairs:
Rajesh Gupta
UC San Diego, USA
,
Yan Liu
USC, USA
,
Program Chairs:
Mohak Shah
LG Electronics, USA
,
Suju Rajan
Linkedin, USA
,
Publications Chairs:
Jiliang Tang
Michigan State, USA
,
B. Aditya Prakash
Georgia Tech, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 August 2020

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KDD '20

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KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

July 6 - 10, 2020

CA, Virtual Event, USA

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Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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Cited By

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Wu YPan XLi JDou SDong JWei D(2024)Knowledge Graph-Based Hierarchical Text Semantic RepresentationInternational Journal of Intelligent Systems10.1155/2024/55832702024Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1155/2024/5583270
CB AMahesh KSanda N(2023)Ontology-based semantic data interestingness using BERT modelsConnection Science10.1080/09540091.2023.219049935:1Online publication date: 11-Apr-2023
https://doi.org/10.1080/09540091.2023.2190499
Sun KLi WSaikrishna VChadhar MXia F(2022)COVID-19 datasets: A brief overviewComputer Science and Information Systems10.2298/CSIS210822014S19:3(1115-1132)Online publication date: 2022
https://doi.org/10.2298/CSIS210822014S
Zhu RXie ZZhou G(2022)How Severe is Your COVID-19? Predicting SARS-CoV-2 Infection with Graph Attention Capsule Networks2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)10.1109/WI-IAT55865.2022.00121(751-754)Online publication date: Nov-2022
https://doi.org/10.1109/WI-IAT55865.2022.00121
Xie ZZhu RLiu JZhou GHuang JCui X(2022)GFCNet: Utilizing graph feature collection networks for coronavirus knowledge graph embeddingsInformation Sciences10.1016/j.ins.2022.07.031608(1557-1571)Online publication date: Aug-2022
https://doi.org/10.1016/j.ins.2022.07.031
Wang DFan HLiu J(2021)Learning with joint cross-document information via multi-task learning for named entity recognitionInformation Sciences10.1016/j.ins.2021.08.015579(454-467)Online publication date: Nov-2021
https://doi.org/10.1016/j.ins.2021.08.015
Alzubi JJain RSingh AParwekar PGupta M(2021)COBERT: COVID-19 Question Answering System Using BERTArabian Journal for Science and Engineering10.1007/s13369-021-05810-548:8(11003-11013)Online publication date: 23-Jun-2021
https://doi.org/10.1007/s13369-021-05810-5

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