Why We Need Graph Analytics for Real-World Predictions

As data becomes increasingly interconnected and systems increasingly sophisticated, it’s essential to make use of the rich and evolving relationships within our data. Graphs are uniquely suited to this task because they are, very simply, a mathematical representation of a network. The objects that makeup graphs are called nodes (or vertices) and the links between them are called relationships (or edges).

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