专题:Graph theory and applications

This cluster of papers focuses on the study of graph spectra, topological indices, Laplacian energy, resistance distance, and their applications in analyzing molecular structures and networks.
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Geometric Approach to Degree-Based Topological Indices: Degree-Ratio Sombor Indices of Graphs

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Survey of Sombor-Type Degree-Based Topological Indices

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Spectrum and coherence analysis in networks with noise disturbance

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Network Coherence and Robustness Analysis of Extended Polygonal Networks

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A hierarchical interaction message net for accurate molecular property prediction

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QSPR Analysis of Elliptic-type Entropy Measures and Their Correlation with Elliptic-type Indices of Silicon Carbide Networks

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ELLIPTIC SOMBOR STRESS INDEX FOR GRAPHS

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STATISTICAL ANALYSIS AND TOPOLOGICAL PROPERTY OF A CLASS OF FRACTAL NETWORKS

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Leveraging topological indices and machine learning for advanced prediction of antidepressant drug properties

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Molecular Topological Deep Learning for Polymer Property Prediction

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