Fast computation of von Neumann entropy for large-scale graphs via quadratic approximations

The von Neumann graph entropy (VNGE) can be used as a measure of graph complexity, which can be the measure of information divergence and distance between graphs. However, computing VNGE is extensively demanding for a large-scale graph. We propose novel quadratic approximations for fast computing VN...

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Veröffentlicht in:Linear algebra and its applications 2020-01, Vol.585, p.127-146
Hauptverfasser: Choi, Hayoung, He, Jinglian, Hu, Hang, Shi, Yuanming
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Sprache:eng
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