An efficient graph data compression model based on the germ quotient set structure
Dawei WANG, Wanqiu CUI
An efficient graph data compression model based on the germ quotient set structure
[1] |
Park C S , Kaye B K . The tweet goes on: interconnection of twitter opinion leadership, network size, and civic engagement. Computers in Human Behavior, 2017, 69: 174– 180
|
[2] |
Delgosha P , Anantharam V . Universal lossless compression of graphical data. IEEE Transactions on Information Theory, 2020, 66( 11): 6962– 6976
|
[3] |
Xue Z , Du J , Du D , Lyu S . Deep low-rank subspace ensemble for multi-view clustering. Information Science, 2019, 482: 210– 227
|
[4] |
Lu F , Kothari N , Feng X , Zhang L . Equivalence classes in matching covered graphs. Discrete Mathematics, 2020, 343( 8): 111945
|
[5] |
Robinson I Webber J Eifrem E. Graph Databases. 2nd ed. California: O’Reilly Media Inc, 2015
|
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