References
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
Delgosha P, Anantharam V. Universal lossless compression of graphical data. IEEE Transactions on Information Theory, 2020, 66(11): 6962–6976
Xue Z, Du J, Du D, Lyu S. Deep low-rank subspace ensemble for multi-view clustering. Information Science, 2019, 482: 210–227
Lu F, Kothari N, Feng X, Zhang L. Equivalence classes in matching covered graphs. Discrete Mathematics, 2020, 343(8): 111945
Robinson I, Webber J, Eifrem E. Graph Databases. 2nd ed. California: O’ Reilly Media Inc, 2015
Acknowledgements
This work was supported by the ISTIC Innovation Research Foundation (QN2022-05), by the National Natural Science Foundation of China (NSFC) (Grant No. 72074201), and sponsored by the National Social Science Foundation of China (NSSFC) (21CTQ039).
Author information
Authors and Affiliations
Corresponding author
Electronic Supplementary Material
Rights and permissions
About this article
Cite this article
Wang, D., Cui, W. An efficient graph data compression model based on the germ quotient set structure. Front. Comput. Sci. 16, 166617 (2022). https://doi.org/10.1007/s11704-022-1489-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11704-022-1489-7