code: def __init__(self, categories: List, attribute_encoding_size):
      self.categories = categories
      self.embedding = Embedding(
          len(self.categories), attribute_encoding_size
      )
  
file_path: typedb-ml/typedb_ml/pytorch_geometric/transform/encode.py
imports: from typing import List
  import torch
  from torch.nn import Embedding
  from typedb_ml.networkx.iterate import multidigraph_node_data_iterator, multidigraph_edge_data_iterator
label_desc: Use image node_id 1 to create a new CategoricalEncoder object  with example: obj = CategoricalEncoder(categories, attribute_encoding_size)