node_attrs_to_torch_tensor

Returns node attributes of the graph in the form of a torch tensor.

sasviya.network.utils.conversions.node_attrs_to_torch_tensor(g, node_attrs)

Parameters

g : SAS graph object: Specifies the input graph to assess.
node_attrs : str or iterable of str or ‘ALL’: Specifies the node attributes to include. The value can be a single string, a list of strings, or ‘ALL’ to include all node attributes. If any of the specified node attributes are not numeric, a ValueError is raised.

Returns

torch.Tensor: Returns a torch tensor of the size (number of nodes, number of node attributes).

Examples

import dgl
import torch
g = dgl.data.CoraGraphDataset()[0]
G = sasnet.from_dgl(g,create_using=sasnet.ImmutableGraph)
print(sasnet.node_attr_to_torch_tensor(G,node_attrs='ALL'))

import dgl
import torch
g = dgl.data.CoraGraphDataset()[0]
G = sasnet.from_dgl(g,create_using=sasnet.ImmutableGraph)
print(sasnet.node_attr_to_torch_tensor(G,node_attrs='ALL'))

Last updated: July 28, 2026