Dependency graph

Related lectures (10)

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Covers the Lovasz Local Lemma, 'small dependencies', dependency graphs, and conditions for valid solutions.

Explores optimizing graph pattern matching with work-sharing techniques and context-aware parallelization for pattern mining at scale.

Introduces the Syntax-aware Graph-to-Graph Transformer architecture for effective conditioning on syntactic dependency graphs.

Covers the independence polynomial of a dependency graph and related concepts such as graph coloring and directed graph properties.

Explores DFS, Topological Sort, SCC in graphs, and introduces Flow Networks with practical examples.

Explores topological sort, acyclic graphs, Strongly Connected Components, magic algorithm, component graph, flow networks, and their applications.

Covers graph sketching and connected components in streaming models.

Covers Breadth-First Search, Depth-First Search, and topological sort in graphs.

Discusses graph algorithms, focusing on flow networks and strongly connected components.

Explores depth-first search, breadth-first search, graph representation, and topological sorting in graphs.