karateclub | Karate Club : An API Oriented Open | Machine Learning library

 by   benedekrozemberczki Python Version: 1.3.3 License: GPL-3.0

kandi X-RAY | karateclub Summary

kandi X-RAY | karateclub Summary

karateclub is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. karateclub has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can install using 'pip install karateclub' or download it from GitHub, PyPI.

Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and External Resources. Karate Club consists of state-of-the-art methods to do unsupervised learning on graph structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science (NetSci, Complenet), data mining (ICDM, CIKM, KDD), artificial intelligence (AAAI, IJCAI) and machine learning (NeurIPS, ICML, ICLR) conferences, workshops, and pieces from prominent journals. The newly introduced graph classification datasets are available at SNAP, TUD Graph Kernel Datasets, and GraphLearning.io.
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              karateclub has a medium active ecosystem.
              It has 1898 star(s) with 230 fork(s). There are 40 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 104 have been closed. On average issues are closed in 9 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of karateclub is 1.3.3

            kandi-Quality Quality

              karateclub has 0 bugs and 0 code smells.

            kandi-Security Security

              karateclub has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              karateclub code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              karateclub is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              karateclub releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              karateclub saves you 1812 person hours of effort in developing the same functionality from scratch.
              It has 4852 lines of code, 425 functions and 120 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed karateclub and discovered the below as its top functions. This is intended to give you an instant insight into karateclub implemented functionality, and help decide if they suit your requirements.
            • Calculate the wavelet characteristic feature .
            • Performs the refinement of the relationship .
            • The walk function .
            • Calculate eigenvalues for a given matrix .
            • Calculate the eigenvalue of a graph .
            • Compute embedding features .
            • Calculate the feature matrix .
            • Creates a list of feature documents .
            • Calculate the LDAP embedding .
            • Fit an MNF model to a set of residuals .
            Get all kandi verified functions for this library.

            karateclub Key Features

            No Key Features are available at this moment for karateclub.

            karateclub Examples and Code Snippets

            No Code Snippets are available at this moment for karateclub.

            Community Discussions

            Trending Discussions on karateclub

            QUESTION

            WPF Live Charts - XAML code not linking to C# code
            Asked 2020-Jun-11 at 16:53

            I'm struggling with live charts. I'm using WPF.

            I want to build a bar chart that displays the number of members in a Karate Club by belt color. One of my learning projects.

            Following their docs: https://lvcharts.net/App/examples/v1/wpf/Basic%20Column

            I am getting an error in xaml:

            d:DataContext="{d:DesignInstance local:Charts}" 'The name "Charts" does not exist in namespace "clr-namespace:KarateClub" '

            and

            LabelFormatter="{Binding Formatter}" 'Method Formatter not found in type Charts'

            If I remove the DataContext code the graph displays but it doesn't use any of my values. I must be missing how to link the XAML code to the C# code...? Have I got the class/namespace path wrong?

            My XAML Code:

            ...

            ANSWER

            Answered 2020-Jun-11 at 01:57

            The example you are following does not say d:DataContext="{d:DesignInstance local:Charts}".

            it says d:DataContext="{d:DesignInstance local:BasicColumn}".

            Source https://stackoverflow.com/questions/62315770

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install karateclub

            You can install using 'pip install karateclub' or download it from GitHub, PyPI.
            You can use karateclub like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install karateclub

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            https://github.com/benedekrozemberczki/karateclub.git

          • CLI

            gh repo clone benedekrozemberczki/karateclub

          • sshUrl

            git@github.com:benedekrozemberczki/karateclub.git

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