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An Interdisciplinary Review on Application of Graph Theory

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Graph theory presents powerful tools for solving complex problems across various fields.
It supports applications in network optimization and molecular modelling, showing its versatility.
The review covers spectral methods and graph neural networks that contribute to its evolving framework.
Interconnected systems benefit greatly from graph theory, with implications for modern applications.

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This review highlights applications of graph theory in computer science and biology, suggesting it may enhance optimization techniques.

Poonam Chawla (2025) studied this question.

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