Our analysis of 58,728 coronavirus papers show that coronavirus research has become dramatically novel since the outbreak of the COVID-19.
Proposing the edge2vec model, which represents graphs considering edge semantics.
Contrastive loss (CL) improves the performance of CEL especially in imbalanced electronic health records (EHR) data for COVID-19 analyses.
An end-to-end semi-supervised cross-modal contrastive learning framework.
