Linked from
The 23 pages that link to Vertex (graph theory), each with the reason it gives.
Directed graphRelated: Each directed edge begins and ends at vertices.
Adjacency matrixRelated: Each vertex corresponds to one row and one column of the matrix.
Complete graphRelated: Completeness requires every pair of distinct vertices to be adjacent.
Edge (graph theory)Related: An edge is defined by the vertex or vertices it connects.
Breadth-first searchRelated: Breadth-first search marks and processes vertices one at a time.
MultigraphRelated: Multiple edges in a multigraph connect the same pair of vertices.
Path (graph theory)Related: Each position in a path is occupied by a vertex.
Degree (graph theory)Broader topic: Degree is assigned to each vertex individually.
Connected componentRelated: Components partition the graph’s vertices into maximal connected groups.
Simple graphRelated: A simple graph's vertices are the endpoints that its edges may join.
Perfect matchingRelated: A perfect matching must cover every vertex exactly once.
Adjacency listBroader topic: An adjacency list stores one neighbor collection for each vertex.
Connected graphRelated: Connectedness asks whether every pair of vertices can be linked.
Flow conservationRelated: The conservation rule is applied separately at each network vertex.
Path graphRelated: The vertices form the ordered sequence that defines a path graph.
Undirected graphBroader topic: Vertices are the endpoints that undirected edges connect.
Hamiltonian cycleRelated: The requirement concerns visiting every vertex exactly once.
Directed networkRelated: Vertices are the entities connected by the network's oriented links.
Homogeneous networkRelated: A network may be homogeneous because its vertices share a relevant type.