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On July 16, 2024 at 2:28:51 PM UTC, Gravatar admin:
  • Updated description of Live Code Feature from

    CoyPu Knowledge Graph (KG) contains a huge amount of data about all the countries worldwide, including each country's performance based on thousands of indicators presented in the World Bank datasets. An indicator refers to a specific metric measuring a particular aspect of economic, social, or environmental development. We aim to detect communities of Country-Indicator and predict relationships between them. We follow a hybrid AI framework that employs inductive learning to identify a partitioning of nodes within a KG. The proposed framework comprises four design patterns describing the sub-systems that implement the tasks mentioned above toward solving the problem of detecting communities
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    This feature enables users to create, share, and execute live code interactively. We use JupyterHub, which allows multiple users to use the Jupyter Notebook and manages a separate Jupyter environment for each user. The feature facilitates exploratory data analysis and visualization of code outputs. Furthermore, it is ideal for teaching and data science



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