SHEEP, a Signed Hamiltonian Eigenvector Embedding for Proximity
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DOI: 10.1038/s42005-023-01504-6
Abstract: Signed network embedding methods allow for a low-dimensional representation of nodes and primarily focus on partitioning the graph into clusters, hence losing information on continuous node attributes. Here, we introduce a spectral embedding algorithm for… read more here.
Keywords: eigenvector embedding; eigenvector; sheep signed; hamiltonian eigenvector ... See more keywords