code: def node2vec_walk(self, walk_length, start_node):
      G = self.G
      alias_nodes = self.alias_nodes
      alias_edges = self.alias_edges
  
      walk = [start_node]
  
      while len(walk) < walk_length:
          cur = walk[-1]
          cur_nbrs = list(G.neighbors(cur))
          if len(cur_nbrs) > 0:
              if len(walk) == 1:
                  walk.append(
                      cur_nbrs[
                          alias_sample(
                              alias_nodes[cur][0], alias_nodes[cur][1]
                          )
                      ]
                  )
              else:
                  prev = walk[-2]
                  edge = (prev, cur)
                  next_node = cur_nbrs[
                      alias_sample(
                          alias_edges[edge][0], alias_edges[edge][1]
                      )
                  ]
                  walk.append(next_node)
          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 3 for calling the RandomWalker obj's underlying member method code with example usage: obj.node2vec_walk(walk_length, start_node) and returns: walk