Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.
about
Network compression as a quality measure for protein interaction networksA large scale analysis of information-theoretic network complexity measures using chemical structuresNew polynomial-based molecular descriptors with low degeneracyStructural discrimination of networks by using distance, degree and eigenvalue-based measuresExploring statistical and population aspects of network complexityConnections between classical and parametric network entropiesOn the relationships between generative encodings, regularity, and learning abilities when evolving plastic artificial neural networksEntropy bounds for hierarchical molecular networks.Novel topological descriptors for analyzing biological networks.Integrative network biology: graph prototyping for co-expression cancer networks.Recent developments in quantitative graph theory: information inequalities for networks.Information indices with high discriminative power for graphs.Limitations of gene duplication models: evolution of modules in protein interaction networks.Towards information inequalities for generalized graph entropies.Structural properties and complexity of a new network class: Collatz step graphsThe discrimination power of structural SuperIndices.Quantitative network measures as biomarkers for classifying prostate cancer disease states: a systems approach to diagnostic biomarkers.Large-scale evaluation of molecular descriptors by means of clusteringStructural differentiation of graphs using Hosoya-based indicesTopological Schemas of Cognitive Maps and Spatial Learning.A network-based approach to classify the three domains of lifeStructural measures for network biology using QuACNLow-algorithmic-complexity entropy-deceiving graphs.Network nursing: connections between nursing and complex network science.Ion aggregation in high salt solutions. V. Graph entropy analyses of ion aggregate structure and water hydrogen bonding network.INFORMATION-THEORETIC CONCEPTS FOR THE ANALYSIS OF COMPLEX NETWORKSMachine Learning for Health InformaticsMulti-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future ChallengesOn Entropy-Based Data MiningBirkhoff’s aesthetic ratio as a morphometric tool in the analysis of anatomical development of biological tree-like structures
P2860
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P2860
Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.
description
1968 nî lūn-bûn
@nan
1968年の論文
@ja
1968年学术文章
@wuu
1968年学术文章
@zh
1968年学术文章
@zh-cn
1968年学术文章
@zh-hans
1968年学术文章
@zh-my
1968年学术文章
@zh-sg
1968年學術文章
@yue
1968年學術文章
@zh-hant
name
Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.
@en
Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.
@nl
type
label
Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.
@en
Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.
@nl
prefLabel
Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.
@en
Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.
@nl
P356
P1476
Entropy and the complexity of graphs. I. An index of the relative complexity of a graph.
@en
P2093
A Mowshowitz
P304
P356
10.1007/BF02476948
P577
1968-03-01T00:00:00Z