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Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A
  New Zealand's study

Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study

12 May 2023
V. Nguyen
Truong Son-Hy
Long Tran-Thanh
N. Nghiem
ArXivPDFHTML

Papers citing "Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study"

2 / 2 papers shown
Title
A spatiotemporal machine learning approach to forecasting COVID-19
  incidence at the county level in the USA
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA
Benjamin Lucas
Behzad Vahedi
M. Karimzadeh
OOD
24
31
0
24 Sep 2021
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
252
1,394
0
01 Dec 2016
1