Investigation of the possibility of using evolutionary algorithms for conditional generation of attributed graphs

The field of synthetic generation of attributed graphs is actively developing due to advances in generative modeling. However, a key problem of current methods remains the limited diversity of synthesized graphs, due to the dependence on the characteristics of real data used to train generative mode...

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Bibliographic Details

Published in:	Научно-технический вестник информационных технологий, механики и оптики
Main Authors:	I. Yu. Deeva, P. O. Andreeva, E. N. Shikov, A. V. Kalyuzhnaya
Format:	Article
Language:	English
Published:	ITMO University 2025-07-01
Subjects:	атрибутированные графы генерация синтетических графов эволюционная оптимизация байесовские сети топологические характеристики графов статистические характеристики атрибутов
Online Access:	https://ntv.elpub.ru/jour/article/view/467