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of FOXP2. Figure 1 Open in new tabDownload slide A knowledge graph centered around protein–protein interactions and functions of FOXP2. Semantic similarity In many biomedical and computer science ...
Format The OBO Flatfile Format [27] is a graph -based knowledge representation language widely used for biological and biomedical ontologies. The majority of language constructs are compatible with OWL ...
embeddings were generated by the graph convolutional networks and 4 knowledge graph embedding models, using graphs built from UMLS hierarchical relations. Semantic relatedness was measured by the cosine ...
-optimised backend service infrastructure; a multi-paradigm index server, GATE Mímir, which can be used to index and search over text, annotations, semantic schemas (ontologies), and semantic meta-data ...
between such entities asserted in MEDLINE. SemRep relationships form the core of a graph -based Web application called Semantic MEDLINE, which helps users discern patterns in large numbers of MEDLINE ...
in the biomedical domain, the adoption of Semantic Web in agronomy is yet to be completely exploited . Given that agronomic studies involve multiple domains, publicly available knowledge bases such as EBI RDF, Linked ...
context, although connecting layers of information can provide some context STRING Knowledge graphs openBEL Agility of graph databases; semantic web approaches offer a federated solution; openBEL framework ...
, available over HTTP. Semantic graphs can be founded on diverse standard logic rulesets: the more expressive is the logic, the deeper is the inference but the more expansive is its computational cost ...
. Bridging semantics and syntax with graph algorithms—state-of-the-art of extracting biomedical relations . Brief Bioinform 2017 ; 18 ( 1 ): 160 – 78 . doi: 10.1093/bib/bbw001 Google Scholar Crossref Search ...
specific categories according to the latent semantic relationship to guide the construction of hypergraphs over the heterogeneous network (Fig 2(a)). (2) Multi-branches hypergraph attention and graph ...
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