The article discusses methods for modeling composite materials using graph theory. For this purpose, the method of structure-oriented and structure-invariant modeling of composite materials was analyzed. As a basis for such modeling, it is supposed to use structural descriptors ‒ quantities that describe the structure of the material at different scale levels, including the molecular one. Structure-oriented modeling of hierarchical systems, which, in particular, are composite materials, can be carried out on the basis of regression statistical modeling, which takes into account the possibility of implementing the previous structural level at the next one, and, in particular, the molecular level at the microscopic or mesoscopic level. A form of experimental-statistical models, which includes descriptors of several structural levels was proposed. A simplified approach, which takes into account the regularities of two levels: molecular and subsequent (micro- and mesoscopic) was considered. Examples and algorithms for constructing a representative graph for cross-linked and branched polymers, as well as silicate materials, were considered. It is shown that the representing graph of cro
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