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Shortest path kernels are a type of graph kernel used in pattern recognition and machine learning that measure the similarity between graphs based on the shortest paths between all pairs of nodes. By transforming graph distance metrics into a feature space, they facilitate efficient computation and comparison of structured data for tasks such as classification and clustering.
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