Graph algorithms are specifically built to operate on relationships, and they are uniquely capable of finding structures and revealing patterns in connected data. Graph analytics vary from conventional statistical analysis by focusing and calculating metrics based on the relationships between things. This post looks at how graph algorithms improve machine learning predictions and provide an example graph machine learning (ML) workflow.
Read more: https://www.oreilly.com/ideas/how-graph-algorithms-improve-machine-learning
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