Fast computation of von Neumann entropy for large-scale graphs via quadratic approximations-Reference-Cited by-同舟云学术

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

Published:2020-01 Issue: Volume:585 Page:127-146
ISSN:0024-3795
Container-title:Linear Algebra and its Applications
language:en
Short-container-title:Linear Algebra and its Applications

Author:

Choi Hayoung,He Jinglian,Hu Hang,Shi Yuanming

Funder

Shanghai Sailing Program

NSFC

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference30 articles.

1. Distance between spectra of graphs;Abdollahi;Linear Algebra Appl.,2015

2. Statistical mechanics of complex networks;Albert;Rev. Modern Phys.,2002

3. Entropy measures for networks: toward an information theory of complex topologies;Anand;Phys. Rev. E,2009

4. Shannon and von Neumann entropy of random networks with heterogeneous expected degree;Anand;Phys. Rev. E,2011

5. Graph clustering using graph entropy complexity traces;Bai,2012

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1. RWE: A Random Walk Based Graph Entropy for the Structural Complexity of Directed Networks;IEEE Transactions on Network Science and Engineering;2024-03

2. Computation of the von Neumann entropy of large matrices via trace estimators and rational Krylov methods;Numerische Mathematik;2023-09-28

3. Estimating the trace of matrix functions with application to complex networks;Numerical Algorithms;2022-11-05

4. On the Similarity Between von Neumann Graph Entropy and Structural Information: Interpretation, Computation, and Applications;IEEE Transactions on Information Theory;2022-04

5. Bridging the Gap between von Neumann Graph Entropy and Structural Information: Theory and Applications;Proceedings of the Web Conference 2021;2021-04-19

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