If you want a pure Python adjacency matrix representation try networkx.convert.to_dict_of_dicts which will return a dictionary-of-dictionaries format that can be addressed as a sparse matrix. For MultiGraph/MultiDiGraph with parallel edges the weights are summed. See to_numpy_matrix for other options. Dense matrix A two-dimensional array of numerical values. Rows are observations (a row is a data point in ℝ𝑛).

adjacency matrices deﬁne graphs A GUI to display Graphs components of the GUI code for drawing graphs Searching Graphs which vertices are best connected ﬁnd a path between two vertices Graphs vertices and edges A graph G is deﬁned by two sets: G V E V vertices or nodes, E edges or links. Adjacency matrix A: A i j 0 no edge between i and j Directed graphs: A Efficiently creating an adjacency matrix from a lattice in numpy. Ask Question Asked 4 years, 5 months ago. Active 4 years, 5 months ago. Viewed 2k times ...

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