Showing 3 open source projects for "structural"

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    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...
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  • 2

    intzip

    Fast compression of integer sets.

    ...An arbitrary set of integers (i.e., a collection of unique numbers where the order does not matter) may be transformed into suitable input data by way of translation and sorting. The main focus of the algorithm is to encode structural characteristics of a given list, such as coherent intervals and repeated distances. Therefore, the quality of compression depends on diversity rather than size. In most cases, IntZip is able to achieve much better compression results than general compression algorithms on such data sets.
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  • 3
    Evolutionary Structural Optimization Package (ESOP) consists of software for viewing, analyzing, and optimizing structures containing beam, truss, and membrane plate elements utilizing OpenGL and the Genetic Algorithm (GA). Created for use in M.S. theses
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