Inter-Series Attention Model for COVID-19 Forecasting

25 October 2020

Papers citing "Inter-Series Attention Model for COVID-19 Forecasting"

7 / 7 papers shown

Title
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting Mingjie Qiu Zhiyi Tan Bingkun Bao 36 6 0 30 Aug 2023
Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies Feng Xie Zhong Zhang Xuechen Zhao Haiyang Wang Jiaying Zou Lei Tian Bin Zhou Yusong Tan 35 8 0 10 Sep 2022
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting Feng Xie Zhong Zhang Liang Li B. Zhou Yusong Tan 19 22 0 23 Aug 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 29 18 0 19 Jul 2022
COVID-19 Hospitalizations Forecasts Using Internet Search Data Tao Wang Simin Ma Soobin Baek Shihao Yang OOD 14 9 0 03 Feb 2022
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future Harshavardhan Kamarthi Alexander Rodríguez B. Prakash AI4TS 22 14 0 08 Jun 2021
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting R. Vega Leonardo Flores Russell Greiner 17 31 0 03 Jun 2021