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Knowledge graph embedding is an effective way to represent knowledge graph, which greatly enhance the performances on knowledge graph completion tasks, e.g., entity or relation prediction. For ...
The goal of this repository is to provide an overview of knowledge graphs in the domain of biomedicine and of resources for their construction. This is achieved in four complementary ways: A survey ...
Due to their capability to model information about various domains in a semantically rich way, knowledge graphs gain importance in the engineering of automated systems. Still, the integration of ...
Successful implementation of enterprise intelligence requires managing knowledge with financial-grade rigor.
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
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