code: def __init__(
      self, graph, walk_len, win_size, neg_num, neg_sample_type
  ):
      self.graph = graph
      self.walk_len = walk_len
      self.win_size = win_size
      self.neg_num = neg_num
      self.neg_sample_type = neg_sample_type
  
file_path: PGL/examples/deepwalk/dataset.py
imports: import os
  import paddle
  import numpy
  from pgl import graph_kernel
  from pgl.utils.logger import log
  from pgl.utils.data import Dataset
  from pgl.sampling import random_walk
  from pgl.graph_kernel import skip_gram_gen_pair
label_desc: Use image node_id 1 to create a new BatchRandWalk object from inherited base classes: object with example: obj = BatchRandWalk(graph, walk_len, win_size, neg_num, neg_sample_type)