Graft: An Efficient Graphlet Counting Method for Large Graph Analysis
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Year
: 2014DOI: 10.1109/TKDE.2013.2297929
Keyword(s): 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 |