class_docstr: A sampling graph in CSC format.
class_docstr_tok: ["A","sampling","graph","in","CSC","format","."]
code: def __init__(
      self,
      c_csc_graph: torch.ScriptObject,
  ):
      super().__init__()
      self._c_csc_graph = c_csc_graph
  
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 2 to create a new FusedCSCSamplingGraph object from inherited base classes: SamplingGraph with example: obj = FusedCSCSamplingGraph(c_csc_graph)