Novel Graph Topology Learning for Spatio-Temporal Analysis of COVID-19 Spread
Description
This paper presents a new graph-learning technique to accurately infer the graph structure of COVID-19 data, helping to reveal the correlation of pandemic dynamics among different countries and identify influential countries for pandemic response
