tensor_product(G, H)
The tensor product $P$ of the graphs $G$ and $H$ has a node set that is the tensor product of the node sets, $V(P)=V(G) \times V(H)$. $P$ has an edge $((u,v), (x,y))$ if and only if $(u,x)$ is an edge in $G$ and $(v,y)$ is an edge in $H$.
Tensor product is sometimes also referred to as the categorical product, direct product, cardinal product or conjunction.
Node attributes in P are two-tuple of the G and H node attributes. Missing attributes are assigned None.
Networkx graphs.
If G and H are not both directed or both undirected.
The tensor product of G and H. P will be a multi-graph if either G or H is a multi-graph, will be a directed if G and H are directed, and undirected if G and H are undirected.
Returns the tensor product of G and H.
>>> G = nx.Graph()
... H = nx.Graph()
... G.add_node(0, a1=True)
... H.add_node("a", a2="Spam")
... P = nx.tensor_product(G, H)
... list(P) [(0, 'a')]
Edge attributes and edge keys (for multigraphs) are also copied to the new product graph
See :The following pages refer to to this document either explicitly or contain code examples using this.
networkx.algorithms.operators.product.tensor_product
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