class_docstr: Base Class for GNN Benchmark dataset
  
  Reference: https://github.com/shchur/gnn-benchmark#datasets
class_docstr_tok: ["Base","Class","for","GNN","Benchmark","dataset","Reference",":","https",":","\/\/github.com\/shchur\/gnn-benchmark","#","datasets"]
code: def process(self):
      npz_path = os.path.join(self.raw_path, self.name + ".npz")
      g = self._load_npz(npz_path)
      g = transforms.reorder_graph(
          g,
          node_permute_algo="rcmk",
          edge_permute_algo="dst",
          store_ids=False,
      )
      self._graph = g
      self._data = [g]
      self._print_info()
  
imports: import os
  import numpy
  import scipy.sparse
  from ..None import backend, transforms
  from ..convert import graph
  from .dgl_dataset import DGLBuiltinDataset
  from .utils import _get_dgl_url, deprecate_class, deprecate_property, load_graphs, save_graphs
label_desc: Use image node_id 2 for calling the GNNBenchmarkDataset obj's underlying member method code with example usage: obj.process() without return types