class_docstr: Represent a single graph with additional attributes.
class_docstr_tok: ["Represent","a","single","graph","with","additional","attributes","."]
docstr: Get the attributes of the given `nodes`.
  
  Parameters
  ----------
  nodes : int or slice
      The given node index
  
  Returns
  -------
  list
      The node attribute dictionary.
code: def get_node_attrs(self, nodes: Union[int, slice]) -> List[Any]:
      """
      Get the attributes of the given `nodes`.
  
      Parameters
      ----------
      nodes : int or slice
          The given node index
  
      Returns
      -------
      list
          The node attribute dictionary.
      """
      return self._node_attributes[nodes]
  
imports: import os
  import warnings
  from collections import namedtuple
  from typing import Any, Callable, Dict, List, Tuple, Union
  import dgl
  import scipy.sparse
  import torch
  from torch.nn.utils.rnn import pad_sequence
  from .utils import EdgeNotFoundException, SizeMismatchException, check_and_expand, entail_zero_padding, int_to_list, slice_to_list
  from .views import BatchEdgeFeatView, BatchNodeFeatView, EdgeView, NodeFeatView, NodeView
label_desc: Use image node_id 11 for calling the GraphData obj's underlying member method code with example usage: obj.get_node_attrs(nodes) and returns: self