class_docstr: Represent a single graph with additional attributes.
class_docstr_tok: ["Represent","a","single","graph","with","additional","attributes","."]
docstr: Get all the edge features in a dictionary.
  Returns
  -------
  dict
      Edge features with the keys being the feature names and values
      be the corresponding tensors.
code: def edge_features(self) -> Dict[str, torch.Tensor]:
      """
      Get all the edge features in a dictionary.
      Returns
      -------
      dict
          Edge features with the keys being the feature names and values
          be the corresponding tensors.
      """
      return self.edges[:].features
  
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 18 for calling the GraphData obj's underlying member method code with example usage: obj.edge_features() and returns: self