improved_spectral_community_detection
Improved spectral community detection in large heterogeneous graphs: This page contains the python code implementing our new spectral community detection algorithm based on a Random Matrix Theory analysis of graph similarity matrices.
Keywords for this software
References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
Sorted by year (- Chakrabarty, Arijit; Chakraborty, Sukrit; Hazra, Rajat Subhra: Eigenvalues outside the bulk of inhomogeneous Erdős-Rényi random graphs (2020)
- Tremblay, Nicolas; Loukas, Andreas: Approximating spectral clustering via sampling: a review (2020)
- Ali, Hafiz Tiomoko; Couillet, Romain: Improved spectral community detection in large heterogeneous networks (2018)