2 citations · 7 across the 7 of their papers we have counts for
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stat.ME2022
Spectral embedding and the latent geometry of multipartite networks
Alexander Modell, Ian Gallagher, Joshua Cape +1
Spectral embedding finds vector representations of the nodes of a network, based on the eigenvectors of a properly constructed matrix, and has found applications throughout science…
stat.ME2021★ 2 cited
Spectral clustering under degree heterogeneity: a case for the random walk Laplacian
Alexander Modell, Patrick Rubin-Delanchy
This paper shows that graph spectral embedding using the random walk Laplacian produces vector representations which are completely corrected for node degree. Under a generalised r…