dgl.DGLGraph.num_edges¶
-
DGLGraph.
num_edges
(etype=None)[source]¶ Return the number of edges in the graph.
- Parameters
etype (str or (str, str, str), optional) –
The type name of the edges. The allowed type name formats are:
(str, str, str)
for source node type, edge type and destination node type.or one
str
edge type name if the name can uniquely identify a triplet format in the graph.
If not provided, return the total number of edges regardless of the types in the graph.
- Returns
The number of edges.
- Return type
Examples
The following example uses PyTorch backend.
>>> import dgl >>> import torch
Create a graph with three canonical edge types.
>>> g = dgl.heterograph({ ... ('user', 'follows', 'user'): (torch.tensor([0, 1]), torch.tensor([1, 2])), ... ('user', 'follows', 'game'): (torch.tensor([0, 1, 2]), torch.tensor([1, 2, 3])), ... ('user', 'plays', 'game'): (torch.tensor([1, 3]), torch.tensor([2, 3])) ... })
Query for the number of edges.
>>> g.num_edges('plays') 2 >>> g.num_edges() 7
Use a canonical edge type instead when there is ambiguity for an edge type.
>>> g.num_edges(('user', 'follows', 'user')) 2 >>> g.num_edges(('user', 'follows', 'game')) 3