High-quality gene/disease embedding in a multi-relational heterogeneous graph after a joint matrix/tensor decomposition
Sign Up to like & getrecommendations! Published in 2022 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2021.103973
Abstract: MOTIVATION Node embedding of biological entity network has been widely investigated for the downstream application scenarios. To embed full semantics of gene and disease, a multi-relational heterogeneous graph is considered in a scenario where uni-relation… read more here.
Keywords: graph; multi relational; gene disease; gene ... See more keywords
Multi-Relational Measurement for Latent Construct Networks
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DOI: 10.1037/met0000110
Abstract: Multiple item scales have long been used to measure latent constructs on individual-level data. This is appropriate when an otherwise unobserved construct is indirectly measured by combining observable correlated characteristics that are thought to measure… read more here.
Keywords: construct; relational measurement; latent construct; construct networks ... See more keywords
Newly-Published Paper Recommendation With a Joint Multi-Relational Model
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DOI: 10.1109/access.2022.3223679
Abstract: Reading newly-published papers in time is important for researchers since these papers provide the latest research findings. However, it is challenging to retrieve newly-published papers through common query-based search engines because the papers lacking sufficient… read more here.
Keywords: multi relational; newly published; recommendation; published papers ... See more keywords
A Topic-Sensitive Method for Mashup Tag Recommendation Utilizing Multi-Relational Service Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2018.2805826
Abstract: Tagging systems have been widely used as a major way of managing Web service resources. Many portals such as ProgrammableWeb and BioCatalogue allow users to create manual tags annotating Web services and their compositions (e.g.,… read more here.
Keywords: tag recommendation; service data; recommendation; multi relational ... See more keywords