class_docstr: The Transition Down Module
class_docstr_tok: ["The","Transition","Down","Module"]
code: def __init__(self, in_channels, out_channels, n_neighbor=64):
      super(TransitionDown, self).__init__()
      self.frnn_graph = KNNGraphBuilder(n_neighbor)
      self.message = KNNMessage(n_neighbor)
      self.conv = KNNConv([in_channels, out_channels, out_channels])
  
imports: import dgl
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.geometry import farthest_point_sampler
label_desc: Use image node_id 1 to create a new TransitionDown object from inherited base classes: nn with example: obj = TransitionDown(in_channels, out_channels, n_neighbor)