Linked from
The 27 pages that link to Edge (graph theory), each with the reason it gives.
Graph theoryBroader topic: Edges encode the relationships that distinguish one graph from another.
Directed graphRelated: Direction specifies how each edge connects its endpoint vertices.
Complete graphRelated: Each pair of vertices in a complete graph has exactly one edge.
Vertex (graph theory)Related: Edges specify which other vertices a given vertex is connected to.
Matching (graph theory)Related: A matching is a subset of the graph's edges.
MultigraphRelated: A multigraph can contain distinct edges with identical endpoints.
Path (graph theory)Related: Every consecutive pair of vertices in a path must share an edge.
Degree (graph theory)Broader topic: Counting the edges incident to a vertex defines its degree.
Game treeRelated: Each edge represents a move from one game position to another.
Connected componentRelated: Edges determine which paths can connect vertices within a component.
Simple graphRelated: The absence of loops and duplicate edges constrains which edges are allowed.
Perfect matchingRelated: The selected edges form the pairing that covers the vertices.
Weighted graphRelated: Weights are attached to these connections.
Adjacency listBroader topic: Neighbor entries encode the edges incident to each vertex.
Connected graphRelated: Edges compose the paths that establish connectivity.
Flow conservationRelated: Each directed edge carries flow into one endpoint and out of another.
Path graphRelated: Each edge joins one pair of consecutive vertices.
Induced subgraphRelated: Edges qualify for inclusion precisely when both endpoints are selected.
Hamiltonian cycleRelated: A cycle can use only edges present in the graph.
Directed networkRelated: An edge becomes directed when its source and destination are distinguished.