graph-based methods
Graph-based methods refer to techniques and algorithms that utilize graphs to represent and analyze data. These methods involve using a network structure, where nodes represent entities or objects, and edges represent relationships or connections between these entities. By leveraging this graph structure, these methods can efficiently perform tasks such as clustering, classification, recommendation, and visualization, enabling insights and solving various problems in fields like social networks, genetics, web search, and information retrieval.
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