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Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning. (arXiv:2207.13016v1 [cs.SI])
cs.LG updates on arXiv.org arxiv.org
Social influence prediction has permeated many domains, including marketing,
behavior prediction, recommendation systems, and more. However, traditional
methods of predicting social influence not only require domain expertise,they
also rely on extracting user features, which can be very tedious. Additionally,
graph convolutional networks (GCNs), which deals with graph data in
non-Euclidean space, are not directly applicable to Euclidean space. To
overcome these problems, we extended DeepInf such that it can predict the
social influence of COVID-19 via the transition probability of …
arxiv covid covid-19 deep learning influence learning modeling personalized social