# graphscope.nx.generators.small.make_small_graph#

graphscope.nx.generators.small.make_small_graph(graph_description, create_using=None)[source]#

Return the small graph described by graph_description.

Deprecated since version 2.7: make_small_graph is deprecated and will be removed in version 3.0. If “ltype” == “adjacencylist”, convert the list to a dict and use from_dict_of_lists. If “ltype” == “edgelist”, use from_edgelist.

graph_description is a list of the form [ltype,name,n,xlist]

Here ltype is one of “adjacencylist” or “edgelist”, name is the name of the graph and n the number of nodes. This constructs a graph of n nodes with integer labels 0,..,n-1.

If ltype=”adjacencylist” then xlist is an adjacency list with exactly n entries, in with the j’th entry (which can be empty) specifies the nodes connected to vertex j. e.g. the “square” graph C_4 can be obtained by

>>> G = nx.make_small_graph(
...     ["adjacencylist", "C_4", 4, [[2, 4], [1, 3], [2, 4], [1, 3]]]
... )


or, since we do not need to add edges twice,

>>> G = nx.make_small_graph(["adjacencylist", "C_4", 4, [[2, 4], [3], [4], []]])


If ltype=”edgelist” then xlist is an edge list written as [[v1,w2],[v2,w2],…,[vk,wk]], where vj and wj integers in the range 1,..,n e.g. the “square” graph C_4 can be obtained by

>>> G = nx.make_small_graph(
...     ["edgelist", "C_4", 4, [[1, 2], [3, 4], [2, 3], [4, 1]]]
... )


Use the create_using argument to choose the graph class/type.