A scikit-learn compatible library for graph kernels
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Updated
Apr 23, 2024 - Python
A scikit-learn compatible library for graph kernels
A python package for graph kernels, graph edit distances, and graph pre-image problem.
The goal here is to use a graph kernel and a manifold learning technique in conjunction with Support Vector Machines to enhance the SVM classification.
This project aims to compare the performance obtained using a linear Support Vector Machine model whose data was first processed through a Shortest Path kernel with the same SVM, this time with data also processed by two alternative Manifold Learning techniques: Isomap and Spectral Embedding.
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