BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions.
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab565
Abstract: MOTIVATION Predicting entity relationship can greatly benefit important biomedical problems. Recently, a large amount of biomedical heterogeneous networks (BioHNs) are generated and offer opportunities for developing network-based learning approaches to predict relationships among entities. However,… read more here.
Keywords: self supervised; entity relationship; entity; biomedical heterogeneous ... See more keywords
Teaching Method for Entity–Relationship Models Based on Semantic Network Theory
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206028
Abstract: Students in database courses often have difficulty learning entity–relationship (ER) modeling. According to semantic network theory, learning to construct an ER diagram for a database problem requires complex semantic transformations between the problem and the… read more here.
Keywords: theory; entity relationship; teaching method; semantic network ... See more keywords