code: def read_soc(files: List[str], name: str) -> List[Data]:
      import pandas as pd
  
      skiprows = 4
      if name == "pokec":
          skiprows = 0
  
      edge_index = pd.read_csv(
          files[0],
          sep="\t",
          header=None,
          skiprows=skiprows,
          dtype=np.int64,
      )
      edge_index = torch.from_numpy(edge_index.values).t()
      num_nodes = edge_index.max().item() + 1
      edge_index = coalesce(edge_index, num_nodes=num_nodes)
  
      return [Data(edge_index=edge_index, num_nodes=num_nodes)]
  
imports: import os
  import os.path
  from typing import Any, Callable, Dict, List, Optional, Union
  import fsspec
  import numpy
  import torch
  from torch_geometric.data import Data, InMemoryDataset
  from torch_geometric.io import fs
  from torch_geometric.utils import coalesce
label_desc: Use image node_id 2 for calling a global function with example usage: read_soc(files, name) and returns: list