Некоторые задачи на графовых базах данных

Некоторые задачи на графовых базах данных

Автор: Гуральник Р.И.

Журнал: Труды Института системного программирования РАН @trudy-isp-ran

Статья в выпуске: 4 т.28, 2016 года.

Бесплатный доступ

Одним из наиболее популярных и актуальных подвидов нереляционных баз данных являются графовые базы данных. В данной работе рассмотрены задачи на таких базах данных, которые наиболее часто встречаются в современной литературе. Изучены задачи максимизации влияния, motif mining (MM), задача оценки схожести узлов графа, сопоставление образца в графе. Рассмотрены первичные алгоритмы каждого направления и некоторые промежуточные работы. Проанализированы алгоритмы, соответствующие текущему положению дел.

Графовые базы данных, сетевые мотивы, сопоставление с образцом, максимизация влияния

Короткий адрес: https://sciup.org/14916371

IDR: 14916371   |   DOI: 10.15514/ISPRAS-2016-28(4)-12

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