class_docstr: Represent a single graph with additional attributes.
class_docstr_tok: ["Represent","a","single","graph","with","additional","attributes","."]
docstr: Get the edge attributes in a list.
  Returns
  -------
  list:
      A list of dictionaries. Each dictionary represents all
      the attributes on the corresponding edge.
code: def edge_attributes(self) -> List[Dict[str, torch.Tensor]]:
      """
      Get the edge attributes in a list.
      Returns
      -------
      list:
          A list of dictionaries. Each dictionary represents all
          the attributes on the corresponding edge.
      """
      return self._edge_attributes
  
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 23 for calling the GraphData obj's underlying member method code with example usage: obj.edge_attributes() and returns: self