Examples¶

Examples that use graph kernels to perform various tasks (e.g., graph classification, retrieval of most similar document, etc).

../_images/sphx_glr_plot_pipeline_example_thumb.png

Example of building a graph classification pipeline.¶

../_images/sphx_glr_shortest_path_thumb.png

Graph classification on MUTAG using the shortest path kernel.¶

../_images/sphx_glr_node_attributed_dataset_thumb.png

Graph classification on a dataset that contains node-attributed graphs.¶

../_images/sphx_glr_optimizing_hyperparameters_thumb.png

Performing cross-validation n times, optimizing SVM’s and kernel’s hyperparameters.¶

../_images/sphx_glr_weisfeiler_lehman_subtree_thumb.png

Graph classification on MUTAG using the Weisfeiler-Lehman subtree kernel.¶

../_images/sphx_glr_erdos_renyi_thumb.png

Graph classification on a randomly generated dataset of Erdos-Renyi graphs.¶

../_images/sphx_glr_document_retrieval_example_thumb.png

Retrieval of most similar document using the Weisfeiler-Lehman subtree kernel.¶

../_images/sphx_glr_nx_to_grakel_thumb.png

Example of transforming NetworkX graphs to GraKeL graphs.¶

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