Multi-Linear Pseudo-PageRank for Hypergraph Partitioning
Author:
Funder
National Natural Science Foundation of China
Innovative Research Group Project of the National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10915-024-02460-1.pdf
Reference39 articles.
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2. Bryan, K., Leise, T.: The \$ 25,000,000,000 eigenvector: the linear algebra behind Google. SIAM Rev. 48(3), 569–581 (2006). https://doi.org/10.1137/050623280
3. Gleich, D.F.: PageRank beyond the Web. SIAM Rev. 57(3), 321–363 (2015). https://doi.org/10.1137/140976649
4. Langville, A.N., Meyer, C.D.: Google’s PageRank and Beyond: The Science of Search Engine Rankings. Princeton University Press, Princeton (2006)
5. Arrigo, F., Higham, D.J., Noferini, V.: Non-backtracking PageRank. J. Sci. Comput. 80, 1419–1437 (2019). https://doi.org/10.1007/s10915-019-00981-8
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