A scalable graph generation algorithm to sample over a given shell distribution
Graphs are commonly used to model the relationships between various entities. These graphs can be enormously large and thus, scalable graph analysis has been the subject of many research efforts. To enable scalable analytics, many researchers have focused on generating realistic graphs that support...
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Published in | 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) pp. 227 - 236 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2020
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Subjects | |
Online Access | Get full text |
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