Multi-Context Mining-Based Graph Neural Network for Predicting Emerging Health Risks-Reference-Cited by-同舟云学术

Multi-Context Mining-Based Graph Neural Network for Predicting Emerging Health Risks

Author:

Baek Ji-Won¹^ORCID,Chung Kyungyong²^ORCID

Affiliation:

1. Department of Computer Science, Kyonggi University, Suwon, South Korea

2. Division of AI Computer Science and Engineering, Kyonggi University, Suwon, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education

Kyonggi University’s Graduate Research Assistantship 2021

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference38 articles.

1. SocialGCN: An efficient graph convolutional network based model for social recommendation;wu;arXiv 1811 02815,2018

2. Adaptive universal generalized PageRank graph neural network;chien;arXiv 2006 07988,2020

5. Modeling latent comorbidity for health risk prediction using graph convolutional network;wang;Proc 33rd Int Flairs Conf,2020

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