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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…
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Keywords:
graph;
multi relational;
gene disease;
gene ... See more keywords
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Published in 2018 at "Psychological Methods"
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…
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Keywords:
construct;
relational measurement;
latent construct;
construct networks ... See more keywords
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Published in 2022 at "IEEE Access"
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…
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Keywords:
multi relational;
newly published;
recommendation;
published papers ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3559720
Abstract: Compared to traditional heterogeneous graph (HG) data, Bi-typed Multi-relational Heterogeneous Graph (BMHG) not only have various edge relationships between different types of nodes but also connections among the same type of nodes, which increases modeling…
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Keywords:
heterogeneous graph;
relational heterogeneous;
fusion;
typed multi ... See more keywords
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Published in 2025 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2025.3531427
Abstract: Identifying circRNA-miRNA associations is critical for understanding gene regulatory mechanisms, discovering new biomarkers, and developing therapeutic strategies. The ongoing advancement of autonomous artificial intelligence (AI) technology, particularly in relational and graph learning, enables researchers to…
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Keywords:
circrna mirna;
relational hypergraphs;
mirna associations;
multi relational ... See more keywords
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Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3385656
Abstract: Deep cross-modal hashing retrieval has recently made significant progress. However, existing methods generally learn hash functions with pairwise or triplet supervisions, which involves learning the relevant information by splicing partial similarity between data pairs; notably,…
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Keywords:
cross modal;
relational deep;
cross;
similarity ... See more keywords
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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.,…
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Keywords:
tag recommendation;
service data;
recommendation;
multi relational ... See more keywords