Graphkerne: State-of-the-Art und Future Challenges (Grundlagen und Trends
72,72 €
Among the data structures commonly used in machine learning, graphs are arguably one of the most general. This monograph provides a review of existing graph kernels, their applications, software plus data resources, and an empirical comparison of state-of-the-art graph kernels.
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