Using a Layered Ensemble of Physics-Guided Graph Attention Networks to Predict COVID-19 Trends

Sun, Connie, Kumarasamy, Vijayalakshmi K.; Liang, Yu, Wu, Dalei, Wang, Yingfeng

Main content 1 Search 2 Footer 3

+A A -A High contrast

WHO COVID-19 Research Database

News/Update/Help

Advanced Search

The WHO Covid-19 Research Database is a resource created in response to the Public Health Emergency of International Concern (PHEIC). Its content remains searchable and spans the time period March 2020 to June 2023. Since June 2023, manual updates to the database have been discontinued.

Using a Layered Ensemble of Physics-Guided Graph Attention Networks to Predict COVID-19 Trends

Sun, Connie, Kumarasamy, Vijayalakshmi K.; Liang, Yu, Wu, Dalei, Wang, Yingfeng.

Applied Artificial Intelligence ; : 1-24, 2022.

Article in English | Taylor & Francis | ID: covidwho-1774122

Fulltext

Print

XML

Search on Google

Full text: Available Collection: Databases of international organizations Database: Taylor & Francis Type of study: Prognostic study Language: English Journal: Applied Artificial Intelligence Year: 2022 Document Type: Article

Similar

MEDLINE

LILACS

LIS

Fulltext

Print

XML

Search on Google

Full text: Available Collection: Databases of international organizations Database: Taylor & Francis Type of study: Prognostic study Language: English Journal: Applied Artificial Intelligence Year: 2022 Document Type: Article