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Graph measures with high discrimination power revisited: A random polynomial approach
Matthias Dehmer
, Zengqiang Chen
, Frank Emmert-Streib
, Yongtang Shi
,
Shailesh Tripathi
Research Center Steyr
DBx - Digital Business Institute
Research output
:
Contribution to journal
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Article
6
Citations (Scopus)
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Dive into the research topics of 'Graph measures with high discrimination power revisited: A random polynomial approach'. Together they form a unique fingerprint.
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Keyphrases
Discrimination Power
100%
Graph Measures
100%
Random Polynomials
100%
Polynomial Method
100%
Numerical Results
33%
Underlying Network
33%
Graph Polynomial
33%
Complete Graph Invariant
33%
Structural Information
33%
Graph Network
33%
Network Applications
33%
Random Graphs
33%
Information Functional
33%
Polynomial Coefficients
33%
Mathematics
Polynomial
100%
Random Polynomial
100%
Graph Invariants
50%
Complete Graph
50%
Random Graphs
50%
Computer Science
Underlying Network
100%
Random Graphs
100%
Invariant
100%