Showing 6 open source projects for "networkx"

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  • 1
    NetworkX

    NetworkX

    Network analysis in Python

    NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records).
    Downloads: 6 This Week
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  • 2
    GraphEmbedding

    GraphEmbedding

    Implementation and experiments of graph embedding algorithms

    GraphEmbedding is an open-source Python project for implementing and experimenting with graph embedding algorithms. It follows a simple “graph in, embedding out” design. The library uses NetworkX graphs as input and produces vector representations for graph nodes. It includes implementations of DeepWalk, LINE, Node2Vec, SDNE, and Struc2Vec. Users can configure walks, embedding dimensions, training windows, epochs, and other model-specific parameters. Example scripts demonstrate how to train models and retrieve embeddings for downstream graph analysis or machine learning tasks.
    Downloads: 0 This Week
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  • 3
    Kedro

    Kedro

    A Python framework for creating reproducible, maintainable code

    Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems...
    Downloads: 2 This Week
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  • 4
    Karate Club

    Karate Club

    An API Oriented Open-source Python Framework for Unsupervised Learning

    Karate Club is an unsupervised machine learning extension library for NetworkX. 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.
    Downloads: 0 This Week
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  • 5
    ipycytoscape

    ipycytoscape

    A Cytoscape Jupyter widget

    A widget enabling interactive graph visualization with cytoscape.js in JupyterLab and the Jupyter Notebook.
    Downloads: 0 This Week
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  • 6
    Python UNAP to convert between multiple graph formats. Also has extended graph tools for networkx and igraph modules.
    Downloads: 0 This Week
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