Sparse random hypergraphs: Non-backtracking spectra and community detection
Author:
Affiliation:
1. Information, Learning and Physics (IdePHICS) Lab École Polytechnique Fédérale de Lausanne (EPFL),Lausanne,Switzerland
2. University of California Irvine,Department of Mathematics,Irvine,USA
Funder
Universal
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9996589/9996592/09996873.pdf?arnumber=9996873
Reference82 articles.
1. On estimating rank-one spiked tensors in the presence of heavy tailed errors;auddy;arXiv preprint arXiv 2107 09660,2021
2. Non-Backtracking Random Walks and a Weighted Ihara’s Theorem
3. Spectral detection on sparse hypergraphs
4. Community detection for hypergraph networks via regularized tensor power iteration;ke;arXiv preprint arXiv 1909 13079,2019
5. THE IHARA-SELBERG ZETA FUNCTION OF A TREE LATTICE
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