Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany

3 January 2021

Papers citing "Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany"

12 / 12 papers shown

Title
A New PHO-rmula for Improved Performance of Semi-Structured Networks David Rügamer 28 10 0 01 Jun 2023
mixdistreg: An R Package for Fitting Mixture of Experts Distributional Regression with Adaptive First-order Methods David Rügamer 37 0 0 04 Feb 2023
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis Danfeng Guo Zijie Huang Junheng Hao Yizhou Sun Wei Wang D. Terzopoulos 24 0 0 05 Dec 2022
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19 Haoran Hu Connor Kennedy P. Kevrekidis Hongkun Zhang 16 10 0 01 Aug 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 34 114 0 21 Apr 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series Yuanrong Wang T. Aste AI4TS 31 10 0 08 Mar 2022
Integrating LSTMs and GNNs for COVID-19 Forecasting Nathan Sesti J. Luis E. Crawley B. Cameron AI4TS 19 18 0 14 Jul 2021
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression David Rügamer Chris Kolb Cornelius Fritz Florian Pfisterer Philipp Kopper ... Dominik Thalmeier Philipp F. M. Baumann Lucas Kook Nadja Klein Christian L. Müller BDL 27 19 0 06 Apr 2021
Deep learning of contagion dynamics on complex networks Charles Murphy Edward Laurence Antoine Allard GNN AI4CE 15 69 0 09 Jun 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016