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https://elib.bsu.by/handle/123456789/306258
Заглавие документа: | Generating Graphs with Specified Properties and Their Use for Constructing Scene Graphs from Images |
Авторы: | Himbitski, Aliaksei Himbitski, Vitali Kovalev, Vassili |
Тема: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика |
Дата публикации: | 2023 |
Издатель: | Minsk : BSU |
Библиографическое описание источника: | Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 312-315. |
Аннотация: | Graph generation, the process of creating meaningful graphs, plays a vital role in various domains, including social network analysis, bioinformatics, recommendation systems, and network modeling. This article provides three graph generation models and also proposes the idea of constructing a scene graph using graph generation models. The where different models graph generation has been used for purposes such as social network analysis for community discovery, bioinformatics for protein interaction networks, recommendation systems for personalized recommendations, and network modeling for simulating real-world scenarios. In such models, the hidden state matrix of generated objects was used as a feature matrix. This article sets the goal of building a model with the ability to generate various types of graphs, without being tied to a specific area of application, that is, a matrix describing the structural characteristics of graphs will be used as a feature matrix. This paper develops three methods for generating graph structures with given properties using generative neural networks. The developed methods are tested on the set of Hamiltonian graphs. A comparative analysis of the quality of the generated graph structures is performed. A method of scene graph construction using the developed methods is proposed |
URI документа: | https://elib.bsu.by/handle/123456789/306258 |
ISBN: | 978-985-881-522-6 |
Лицензия: | info:eu-repo/semantics/openAccess |
Располагается в коллекциях: | 2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons |
Полный текст документа:
Файл | Описание | Размер | Формат | |
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312-315.pdf | 481,72 kB | Adobe PDF | Открыть |
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