DAGs, or Directed Acyclic Graphs, are data structures represented by nodes and directed edges, where edges point from one node to another without forming cycles. They are used to model dependencies, workflows, and data pipelines where the order of operations is important. Common applications include scheduling tasks, representing blockchains, and machine learning pipelines.
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