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  2. Graph-tool - Wikipedia

    en.wikipedia.org/wiki/Graph-tool

    graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks). The core data structures and algorithms of graph-tool are implemented in C++ , making extensive use of metaprogramming , based heavily on the Boost Graph Library . [ 1 ]

  3. Graph (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Graph_(abstract_data_type)

    In computer science, a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within mathematics. A graph data structure consists of a finite (and possibly mutable) set of vertices (also called nodes or points ), together with a set of unordered pairs of these ...

  4. Adjacency list - Wikipedia

    en.wikipedia.org/wiki/Adjacency_list

    This undirected cyclic graph can be described by the three unordered lists {b, c}, {a, c}, {a, b}. In graph theory and computer science, an adjacency list is a collection of unordered lists used to represent a finite graph. Each unordered list within an adjacency list describes the set of neighbors of a particular vertex in the graph.

  5. NetworkX - Wikipedia

    en.wikipedia.org/wiki/NetworkX

    NetworkX has applications in any field that studies data as graphs or networks, such as mathematics, physics, biology, computer science and social science. [20] The nodes in a NetworkX graph can be specialized to hold any data, and the data stored in edges is arbitrary, further making it widely applicable to different fields.

  6. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    The recursive implementation will visit the nodes from the example graph in the following order: A, B, D, F, E, C, G. The non-recursive implementation will visit the nodes as: A, E, F, B, D, C, G. The non-recursive implementation is similar to breadth-first search but differs from it in two ways: it uses a stack instead of a queue, and

  7. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    Many graph-based data structures are used in computer science and related fields: Graph; Adjacency list; Adjacency matrix; Graph-structured stack; Scene graph; Decision tree. Binary decision diagram; Zero-suppressed decision diagram; And-inverter graph; Directed graph; Directed acyclic graph; Propositional directed acyclic graph; Multigraph ...

  8. SPQR tree - Wikipedia

    en.wikipedia.org/wiki/SPQR_tree

    In graph theory, a branch of mathematics, the triconnected components of a biconnected graph are a system of smaller graphs that describe all of the 2-vertex cuts in the graph. An SPQR tree is a tree data structure used in computer science , and more specifically graph algorithms , to represent the triconnected components of a graph.

  9. Breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Breadth-first_search

    In the analysis of algorithms, the input to breadth-first search is assumed to be a finite graph, represented as an adjacency list, adjacency matrix, or similar representation. However, in the application of graph traversal methods in artificial intelligence the input may be an implicit representation of an infinite graph. In this context, a ...