Home › Math & Conversions › Core Math & Algebra › Graph adjacency matrix Adjacency Matrix Calculator for Graphs This interactive tool helps you build and analyze the adjacency matrix of a graph. Choose the number of vertices, toggle directed vs undirected and weighted vs unweighted , edit the matrix or paste an edge list, and get degrees, edge counts, density and adjacency lists. It is designed for students, data scientists and engineers who want a transparent, step-by-step companion to standard graph theory references. Adjacency matrix builder Number of vertices (n) Between 2 and 12 vertices. Graph type Undirected Directed Undirected graphs have symmetric adjacency matrices when unweighted. Weights Unweighted (0/1) Weighted In weighted mode, entries represent edge weights; 0 means no edge. Vertex labels (optional, comma-separated) If empty, vertices are labeled v1, v2, …, vn. Labels are used in adjacency lists and edge parsing. Build
Subcategories in Home › Math & Conversions › Core Math & Algebra › Graph adjacency matrix Adjacency Matrix Calculator for Graphs This interactive tool helps you build and analyze the adjacency matrix of a graph. Choose the number of vertices, toggle directed vs undirected and weighted vs unweighted , edit the matrix or paste an edge list, and get degrees, edge counts, density and adjacency lists. It is designed for students, data scientists and engineers who want a transparent, step-by-step companion to standard graph theory references. Adjacency matrix builder Number of vertices (n) Between 2 and 12 vertices. Graph type Undirected Directed Undirected graphs have symmetric adjacency matrices when unweighted. Weights Unweighted (0/1) Weighted In weighted mode, entries represent edge weights; 0 means no edge. Vertex labels (optional, comma-separated) If empty, vertices are labeled v1, v2, …, vn. Labels are used in adjacency lists and edge parsing. Build.