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
On the Similarity Between von Neumann Graph Entropy and Structural Information: Interpretation, Computation, and Applications
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DOI: 10.1109/tit.2022.3142860
Abstract: The von Neumann graph entropy is a measure of graph complexity based on the Laplacian spectrum. It has recently found applications in various learning tasks driven by the networked data. However, it is computationally demanding… read more here.
Keywords: von neumann; graph; information; graph entropy ... See more keywords
A Graph Entropy Measure From Urelement to Higher-Order Graphlets for Network Analysis
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DOI: 10.1109/tnse.2022.3216803
Abstract: Graph entropy measures have recently gained wide attention for identifying and discriminating various networks in biology, society, transportation, etc. However, existing methods cannot sufficiently explore the structural contents by merely considering the elementary invariants of… read more here.
Keywords: graph entropy; graph; higher order; urelement higher ... See more keywords