code: def deepwalk_walk(self, walk_length, start_node):
      walk = [start_node]
  
      while len(walk) < walk_length:
          cur = walk[-1]
          cur_nbrs = list(self.G.neighbors(cur))
          if len(cur_nbrs) > 0:
              walk.append(random.choice(cur_nbrs))
          else:
              break
      return walk
  
imports: import itertools
  import math
  import random
  import pandas
  from joblib import Parallel, delayed
  from .alias import alias_sample, create_alias_table
  from .utils import partition_num
label_desc: Use image node_id 2 for calling the RandomWalker obj's underlying member method code with example usage: obj.deepwalk_walk(walk_length, start_node) and returns: walk