Graft: An Efficient Graphlet Counting Method for Large Graph Analysis
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: 2014شناسه الکترونیک: 10.1109/TKDE.2013.2297929
کلیدواژه(گان): graph theory,network theory (graphs),GFD,GRAFT algorithm,diameter,exact counting algorithm,excessive computation cost,global network topology,graph Laplacian spectra,graphlet counting method,graphlet frequency distribution,large graph analysis,local topological structures,network analysis study,power-law exponent,real-life graph properties,synthetic graphs,Accuracy,Algorithm design and analysis,Approximation algorithms,Approximation methods,Biology,Software algorithms,Topo
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Graft: An Efficient Graphlet Counting Method for Large Graph Analysis
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contributor author | Rahman, Mosaddequr | |
contributor author | Bhuiyan, Mansurul /A/. | |
contributor author | Al Hasan, Mohammad | |
date accessioned | 2020-03-12T18:39:02Z | |
date available | 2020-03-12T18:39:02Z | |
date issued | 2014 | |
identifier issn | 1041-4347 | |
identifier other | 6702435.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/965613 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Graft: An Efficient Graphlet Counting Method for Large Graph Analysis | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7999299 | |
subject keywords | graph theory | |
subject keywords | network theory (graphs) | |
subject keywords | GFD | |
subject keywords | GRAFT algorithm | |
subject keywords | diameter | |
subject keywords | exact counting algorithm | |
subject keywords | excessive computation cost | |
subject keywords | global network topology | |
subject keywords | graph Laplacian spectra | |
subject keywords | graphlet counting method | |
subject keywords | graphlet frequency distribution | |
subject keywords | large graph analysis | |
subject keywords | local topological structures | |
subject keywords | network analysis study | |
subject keywords | power-law exponent | |
subject keywords | real-life graph properties | |
subject keywords | synthetic graphs | |
subject keywords | Accuracy | |
subject keywords | Algorithm design and analysis | |
subject keywords | Approximation algorithms | |
subject keywords | Approximation methods | |
subject keywords | Biology | |
subject keywords | Software algorithms | |
subject keywords | Topo | |
identifier doi | 10.1109/TKDE.2013.2297929 | |
journal title | Knowledge and Data Engineering, IEEE Transactions on | |
journal volume | 26 | |
journal issue | 10 | |
filesize | 1674799 | |
citations | 0 |