class_docstr: Uniformly samples neighbors.
  Assumes that adj lists are padded with random re-sampling
code: def __init__(self, adj_info, **kwargs):
      super(UniformNeighborSampler, self).__init__(**kwargs)
      self.adj_info = adj_info
  
imports: from __future__ import division
  from __future__ import print_function
  from graphsage.layers import Layer
  import tensorflow
label_desc: Use image node_id 1 to create a new UniformNeighborSampler object from inherited base classes: Layer with example: obj = UniformNeighborSampler(adj_info)