Truly Scalable K-Truss and Max-Truss Algorithms for Community Detection in Graphs - Archive ouverte HAL Access content directly
Journal Articles IEEE Access Year : 2020

Truly Scalable K-Truss and Max-Truss Algorithms for Community Detection in Graphs

(1) , (1) , (1, 2) , (3) , (1, 4)
1
2
3
4
Fichier principal
Vignette du fichier
Truly_Scalable_K-Truss_and_Max-Truss_Algorithms_fo.pdf (441.51 Ko) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-02956066 , version 1 (02-10-2020)

Identifiers

Cite

Alessio Conte, Daniele de Sensi, Roberto Grossi, Andrea Marino, Luca Versari. Truly Scalable K-Truss and Max-Truss Algorithms for Community Detection in Graphs. IEEE Access, 2020, 8, pp.139096-139109. ⟨10.1109/ACCESS.2020.3011667⟩. ⟨hal-02956066⟩

Collections

INRIA INRIA2
23 View
106 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More