Graph-Theoretic Properties of Sub-Graph Entropy
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DOI: 10.1109/lsp.2020.3047589
Abstract: Sub-graph entropy has recently been applied to functional brain network analysis for identifying important brain regions associated with different brain states and for discriminating brain networks of subjects with psychiatric disorders from healthy controls. This… read more here.
Keywords: graph entropy; sub graph; properties sub; entropy ... See more keywords
Robust Spectral Clustering Incorporating Statistical Sub-Graph Affinity Model
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DOI: 10.3390/axioms11060269
Abstract: Hyperspectral image (HSI) clustering is a challenging work due to its high complexity. Subspace clustering has been proven to successfully excavate the intrinsic relationships between data points, while traditional subspace clustering methods ignore the inherent… read more here.
Keywords: graph affinity; graph; model; sub graph ... See more keywords
Entropy and Structural-Hole Based Node Ranking Methods
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DOI: 10.53106/160792642021092205007
Abstract: Several research works had been carried out to discover suitable algorithms to quantify node centralities. Among the many existing centrality metrics, only few consider centrality at the sub-graph level or deal with structural hole capabilities of pivot nodes. Research… read more here.
Keywords: structural hole; sub graph; centrality;