id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-226263-ns628u21	Ye, Yanfang	$alpha$-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19	2020-03-27		.txt	text/plain	5694	256	49	In the system of α-Satellite, (1) we first construct an attributed heterogeneous information network (AHIN) to model the collected large-scale and real-time pandemic related data in a comprehensive way; (2) based on the constructed AHIN, to address the challenge of limited data that might be available for learning (e.g., social media data to learn public perceptions towards COVID-19 in a given area might not be sufficient), we then exploit the conditional generative adversarial nets (cGANs) to gain the public perceptions towards COVID-19 in each given area; and finally (3) we utilize meta-path based schemes to model both vertical and horizontal information associated with a given area, and devise a novel heterogeneous graph auto-encoder (GAE) to aggregate information from its neighborhood areas to estimate the risk of the given area in a hierarchical manner.	./cache/cord-226263-ns628u21.txt	./txt/cord-226263-ns628u21.txt