Estimating the State of Epidemics Spreading with Graph Neural Networks

Type: Preprint

Publication Date: 2021-01-01

Citations: 1

DOI: https://doi.org/10.48550/arxiv.2105.05060

Locations

  • arXiv (Cornell University) - View
  • DSpace@MIT (Massachusetts Institute of Technology) - View - PDF
  • Research Repository (Delft University of Technology) - View - PDF
  • Research Square (Research Square) - View - PDF
  • elib (German Aerospace Center) - View - PDF
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat Estimating the state of epidemics spreading with graph neural networks 2022 Abhishek Tomy
Matteo Razzanelli
Francesco Di Lauro
Daniela Rus
Cosimo Della Santina
+ Estimating the State of Epidemics Spreading with Graph Neural Networks 2021 Abhishek Tomy
Matteo Razzanelli
Francesco Di Lauro
Daniela Rus
Cosimo Della Santina
+ PDF Chat A Review of Graph Neural Networks in Epidemic Modeling 2024 Zewen Liu
Guancheng Wan
B. Aditya Prakash
Max S. Y. Lau
Wei Jin
+ PDF Chat A Review of Graph Neural Networks in Epidemic Modeling 2024 Zewen Liu
Guancheng Wan
B. Aditya Prakash
Max S. Y. Lau
Wei Jin
+ Deep Graph Machine Learning Models for Epidemic Spread Prediction and Prevention 2024 Charalampos Salis
Katia Papakonstantinopoulou
+ Prediction of the Effects of Epidemic Spreading with Graph Neural Networks 2020 Sebastian Mežnar
Nada Lavrač
Blaž Škrlj
+ PDF Chat An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak 2020 Valerio La Gatta
Vincenzo Moscato
Marco Postiglione
Giancarlo Sperlì
+ Finding Patient Zero: Learning Contagion Source with Graph Neural Networks 2020 Chintan Shah
Nima Dehmamy
Nicola Perra
Matteo Chinazzi
Albert‐László Barabási
Alessandro Vespignani
Rose Yu
+ DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks 2022 Siya Chen
Pei-Duo Yu
Chee Wei Tan
H. Vincent Poor
+ PDF Chat Deep Demixing: Reconstructing the Evolution of Epidemics using Graph Neural Networks 2021 Gojko Čutura
Boning Li
Ananthram Swami
Santiago Segarra
+ Deep Demixing: Reconstructing the Evolution of Epidemics Using Graph Neural Networks 2020 Gojko Čutura
Boning Li
Ananthram Swami
Santiago Segarra
+ United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting 2020 George Panagopoulos
Giannis Nikolentzos
Michalis Vazirgiannis
+ PDF Chat Parameter estimation of epidemic spread in two-layer random graphs by classical and machine learning methods 2024 Ágnes Backhausz
Edit Bognár
Villő Csiszár
Damján Tárkányi
András Zempléni
+ Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks 2024 Majd Al Aawar
Srikar Mutnuri
Mansooreh Montazerin
Ajitesh Srivastava
+ Deep Demixing: Reconstructing the Evolution of Network Epidemics 2023 Boning Li
Gojko Čutura
Ananthram Swami
Santiago Segarra
+ Transfer Graph Neural Networks for Pandemic Forecasting 2020 George Panagopoulos
Giannis Nikolentzos
Michalis Vazirgiannis
+ Transfer Graph Neural Networks for Pandemic Forecasting 2020 George Panagopoulos
Giannis Nikolentzos
Michalis Vazirgiannis
+ PDF Chat DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks 2023 Chee Wei Tan
Pei-Duo Yu
Siya CHEN
H. Vincent Poor
+ PDF Chat EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting 2023 Feng Xie
Zhong Zhang
Liang Li
Bin Zhou
Yusong Tan
+ PDF Chat Transfer Graph Neural Networks for Pandemic Forecasting 2021 George Panagopoulos
Giannis Nikolentzos
Michalis Vazirgiannis

Works That Cite This (0)

Action Title Year Authors

Works Cited by This (0)

Action Title Year Authors