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On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Handbook of Molecular Descriptors
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Chemical graph theory, introduction and fundamentals
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Information theoretic measures of UHG graphs with low computational complexity
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Structural information content of networks: Graph entropy based on local vertex functionals
inferredcites →https://doi.org/10.1016/j.physa.2008.10.032openalex-snapshot
Fault tolerance of information processing in gene networks
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The Overall Wiener IndexA New Tool for Characterization of Molecular Topology
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Atom pairs as molecular features in structure-activity studies: definition and applications
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Molecular complexity: a simplified formula adapted to individual atoms
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SHED: Shannon Entropy Descriptors from Topological Feature Distributions
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Overall Connectivities/Topological Complexities: A New Powerful Tool for QSPR/QSAR
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Overall Molecular Descriptors. 3. Overall Zagreb Indices
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Introduction to Multivariate Statistical Analysis in Chemometrics
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Topological Indices and Related Descriptors in QSAR and QSPR
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Entropy Bounds for Hierarchical Molecular Networks
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Additional file 1 of Harnessing Shannon entropy-based descriptors in machine learning models to enhance the prediction accuracy of molecular properties
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