Graphs Dataset

The dataset contains 100,000 random graphs with 10, 20, 50 and 100 vertices. This set was obtained using the Graphs Generation software library based on a neural network approach. All graphs are stored as an adjacency matrix in *.npy format.

Related Organizations

Vyatka State University
Russian Federation

Keywords

graphs, neural network approach, graphs generation, dataset

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average