Graph-based Algorithms
Graph-based algorithms refer to a set of techniques used in data science and artificial intelligence that involve the use of graphs to represent and analyze complex systems. These algorithms are used to model relationships between entities and to identify patterns and structures in large datasets. Graph-based algorithms are particularly useful in applications such as social network analysis, recommendation systems, and natural language processing. They can be used to identify clusters of related data points, to detect anomalies and outliers, and to predict future trends. Some common graph-based algorithms include PageRank, which is used by search engines to rank web pages, and community detection algorithms, which are used to identify groups of related nodes in a graph. Other examples include centrality measures, shortest path algorithms, and graph clustering algorithms.
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