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Substructure Isomorphism Matrix

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0160-9327(86)90116-xopenalex-snapshot
Molecular connectivity in structure-activity analysis
inferredcites →https://doi.org/10.1016/0169-7439(92)80026-zopenalex-snapshot
The chemical meaning of topological indices
inferredcites →https://doi.org/10.1016/s0922-3487(97)x8000-1openalex-snapshot
Handbook of Chemometrics and Qualimetrics: Part A
inferredcites →https://doi.org/10.1016/s0924-2031(98)00069-1openalex-snapshot
Large and frequently occurring substructures in organic compounds obtained by library search of infrared spectra
inferredcites →https://doi.org/10.1021/ci9700889openalex-snapshot
Maximum Common Substructures of Organic Compounds Exhibiting Similar Infrared Spectra
inferredcites →https://doi.org/10.1021/ci980109eopenalex-snapshot
Molecular Diversity and Representativity in Chemical Databases

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9783527613106.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/9783527628766.biblioopenalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1002/chin.200024238openalex-snapshot
ChemInform Abstract: Substructure Isomorphism Matrix.
inferred← citeshttps://doi.org/10.1016/1044-0305(94)90013-2openalex-snapshot
The American Society for Mass Spectrometry
inferred← citeshttps://doi.org/10.1016/j.aca.2004.04.014openalex-snapshot
Spectral similarity versus structural similarity: mass spectrometry
inferred← citeshttps://doi.org/10.1016/j.amc.2015.02.042openalex-snapshot
A comparative analysis of the Tanimoto index and graph edit distance for measuring the topological similarity of trees
inferred← citeshttps://doi.org/10.1016/j.amc.2015.05.072openalex-snapshot
Graph distance measures based on topological indices revisited
inferred← citeshttps://doi.org/10.1016/j.amc.2020.125239openalex-snapshot
Relations and bounds for the zeros of graph polynomials using vertex orbits
inferred← citeshttps://doi.org/10.1016/j.ins.2016.01.074openalex-snapshot
Fifty years of graph matching, network alignment and network comparison
inferred← citeshttps://doi.org/10.1016/j.ins.2017.08.009openalex-snapshot
Quantitative Graph Theory: A new branch of graph theory and network science
inferred← citeshttps://doi.org/10.1016/s0003-2670(01)00910-2openalex-snapshot
Feature selection by genetic algorithms for mass spectral classifiers
inferred← citeshttps://doi.org/10.1016/s0003-2670(03)00668-8openalex-snapshot
Spectral similarity versus structural similarity: infrared spectroscopy
inferred← citeshttps://doi.org/10.1016/s0097-8485(00)00096-6openalex-snapshot
Characteristic substructures in sets of organic compounds with similar infrared spectra
inferred← citeshttps://doi.org/10.1016/s0169-7439(03)00054-6openalex-snapshot
Clustering and similarity of chemical structures represented by binary substructure descriptors
inferred← citeshttps://doi.org/10.1021/ci010121yopenalex-snapshot
Exploring the Limits of Graph Invariant- and Spectrum-Based Discrimination of (Sub)structures
inferred← citeshttps://doi.org/10.1021/ci900060xopenalex-snapshot
On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures
inferred← citeshttps://doi.org/10.1201/b17645-2openalex-snapshot
What Is Quantitative Graph Theory?
inferred← citeshttps://doi.org/10.1371/journal.pone.0094985openalex-snapshot
Interrelations of Graph Distance Measures Based on Topological Indices
inferred← citeshttps://doi.org/10.48550/arxiv.1708.05640openalex-snapshot
A similarity criterion for sequential programs using truth-preserving partial functions
inferred← citeshttps://doi.org/10.48550/arxiv.1710.05660openalex-snapshot
Quantitative Graph Theory: A new branch of graph theory and in network science
inferred← citeshttps://doi.org/10.6339/jds.2003.01(4).173openalex-snapshot
Boosting Applied to Classification of Mass Spectral Data
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