It's been said that graphs are everywhere. Graph-based data models provide a flexible and intuitive way to represent complex relationships and interconnectedness in data. They are particularly well-suited for scenarios where relationships and patterns are important, but until recently, they have been confined to a handful of use cases – databases, chip design, information theory, AI – that all have one thing in common: the data in question is stored first and then processed, usually as a batch...

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