Fast GPU-Based Generation of Large Graph Networks From Degree Distributions
Synthetically generated, large graph networks serve as useful proxies to real-world networks for many graph-based applications. The ability to generate such networks helps overcome several limitations of real-world networks regarding their number, availability, and access. Here, we present the desig...
Guardado en:
Autores principales: | Maksudul Alam, Kalyan Perumalla |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9cb02a73b2c641a2a2ecea3c22b844aa |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Butterfly Triple System Algorithm Based on Graph Theory
por: Raja'i Mohammad Aldiabat, et al.
Publicado: (2021) -
Graph Analysis Using Fast Fourier Transform Applied on Grayscale Bitmap Images
por: Pawel Baszuro, et al.
Publicado: (2021) -
Consensus mechanism design based on structured directed acyclic graphs
por: Jiahao He, et al.
Publicado: (2021) -
USE OF THE LINK RANKING METHOD TO EVALUATE SCIENTIFIC ACTIVITIES OF SCIENTIFIC SPACE SUBJECTS
por: A. Biloshchytskyi, et al.
Publicado: (2020) -
USE OF THE LINK RANKING METHOD TO EVALUATE SCIENTIFIC ACTIVITIES OF SCIENTIFIC SPACE SUBJECTS
por: A. Biloshchytskyi, et al.
Publicado: (2020)