In this book, we mainly present the recent advance in graph theory and machine learning. The whole contexts can be divided into ten parts, and each part equals an unpublished manuscript. Some recent contributions in the field of chemical graph theory, coloring theory, machine learning are presented. These results have greatly enriched the content of the discipline and have a positive guiding significance in the field of engineering applications.
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In this book, we mainly present the recent advance in graph theory and machine learning. The whole contexts can be divided into ten parts, and each part equals an unpublished manuscript. Some recent contributions in the field of chemical graph theory, coloring theory, machine learning are presented. These results have greatly enriched the content of the discipline and have a positive guiding significance in the field of engineering applications.
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Add this copy of Results on Graph Theory and Machine Learning in 2019 to cart. $77.68, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2019 by LAP LAMBERT Academic Publishin.