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On the information content of graphs: Compound symbols; Different states for each point
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb00917.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb01338.xopenalex-snapshot
A Mathematical Theory of Communication
inferredcites →https://doi.org/10.1002/zamm.19390190318openalex-snapshot
Maurice Frechet, Prof. a. d. Faculté des Sciences Paris. Méthode des fonctions arbitraires, Théorie des événements en chaîne dans le cas d'un nombre fini d'états possibles. (Traité du calcul des, probabilités et de ses applications herausgegeb. v. Emile Borel, tome I, fasc. III, second livre. X +…
inferredcites →https://doi.org/10.1007/bf02477758openalex-snapshot
Application of information networks to a theory of vision
inferredcites →https://doi.org/10.1007/bf02477836openalex-snapshot
A note on the information content of graphs
inferredcites →https://doi.org/10.1007/bf02477860openalex-snapshot
Life, information theory, and topology
inferredcites →https://doi.org/10.1007/bf02477989openalex-snapshot
Some theorems in topology and a possible biological implication
inferredcites →https://doi.org/10.1007/bf02481834openalex-snapshot
Application of information networks to a theory of vision
inferredcites →https://doi.org/10.1007/bf02546665openalex-snapshot
Kombinatorische Anzahlbestimmungen für Gruppen, Graphen und chemische Verbindungen
inferredcites →https://doi.org/10.2307/1401198openalex-snapshot
Méthode des fonctions arbitraires. Théorie des événements en chaîne dans le cas d'un nombre fini d'états possibles
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Comparative Study of Lipophilicity versus Topological Molecular Descriptors in Biological Correlations
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Topological Complexity of Molecules
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Topological Complexity of Molecules
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Determining structural similarity of chemicals using graph-theoretic indices
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General Principles for the Prediction of Potential Carcinogenic Activity of Chemical Compounds
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The Nature of Intra- and Intermolecular Forces
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Applications of Topological Indices in the Property/Bioactivity/Toxicity Prediction of Chemicals
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Extended GT-STAF information indices based on Markov approximation models
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New network entropy: The domination entropy of graphs
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A Unified Approach to Biological and Social Organisms
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Graph-Based Change Detection for Condition Monitoring of Rotating Machines: Techniques for Graph Similarity
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THE CONCEPT AND MEASUREMENT OF CENTRALITY–AN INFORMATION APPROACH
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Complexity Parameters for Molecular Solids
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Complexity of Molecular Nets: Topological Approach and Descriptive Statistics
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Similarity methods in analog selection, property estimation and clustering of diverse chemicals
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Partition and Code: learning how to compress graphs
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