class_docstr: A sampling graph in CSC format.
class_docstr_tok: ["A","sampling","graph","in","CSC","format","."]
docstr: Returns the edge attributes dictionary.
  
  Returns
  -------
  Dict[str, torch.Tensor] or None
      If present, returns a dictionary of edge attributes. Each key
      represents the attribute's name, while the corresponding value
      holds the attribute's specific value. The length of each value
      should match the total number of edges."
docstr_tok: ["Returns","the","edge","attributes","dictionary",".","Returns","--","--","--","-","Dict","[","str",",","torch.Tensor","]","or","None","If","present",",","returns","a","dictionary","of","edge","attributes",".","Each","key","represents","the","attribute","'s","name",",","while","the","corresponding","value","holds","the","attribute","'s","specific","value",".","The","length","of","each","value","should","match","the","total","number","of","edges",".","''"]
code: def edge_attributes(self) -> Optional[Dict[str, torch.Tensor]]:
      """Returns the edge attributes dictionary.
  
      Returns
      -------
      Dict[str, torch.Tensor] or None
          If present, returns a dictionary of edge attributes. Each key
          represents the attribute's name, while the corresponding value
          holds the attribute's specific value. The length of each value
          should match the total number of edges."
      """
      return self._c_csc_graph.edge_attributes()
  
imports: from typing import Dict, Optional, Union
  import torch
  from dgl.utils import recursive_apply
  from ...base import EID, ETYPE, NID, NTYPE
  from ...convert import to_homogeneous
  from ...heterograph import DGLGraph
  from ..base import etype_str_to_tuple, etype_tuple_to_str, ORIGINAL_EDGE_ID
  from ..sampling_graph import SamplingGraph
  from .sampled_subgraph_impl import CSCFormatBase, SampledSubgraphImpl
label_desc: Use image node_id 22 for calling the FusedCSCSamplingGraph obj's underlying member method code with example usage: obj.edge_attributes() and returns: self