code: def track_time(size):
      edge_list = {
          "small": dgl.data.CiteseerGraphDataset(verbose=False)[
              0
          ].edges(),
          "large": utils.get_livejournal().edges(),
      }
  
      # dry run
      dgl.graph(edge_list[size])
  
      # timing
      with utils.Timer() as t:
          for i in range(10):
              g = dgl.graph(edge_list[size])
  
      return t.elapsed_secs / 10
  
imports: import time
  import dgl
  import dgl.function
  import numpy
  import torch
  from ..None import utils
label_desc: Use image node_id 1 for calling a global function with example usage: track_time(size) and returns: unknown