class_docstr: Removes classes from the node-level training set as given by
  :obj:`data.train_mask`, *e.g.*, in order to get a zero-shot label scenario
  (functional name: :obj:`remove_training_classes`).
  
  Args:
      classes (List[int]): The classes to remove from the training set.
code: def __repr__(self) -> str:
      return f"{self.__class__.__name__}({self.classes})"
  
file_path: pytorch_geometric/torch_geometric/transforms/remove_training_classes.py
imports: from typing import List
  from torch_geometric.data import Data
  from torch_geometric.data.datapipes import functional_transform
  from torch_geometric.transforms import BaseTransform
label_desc: Use image node_id 3 for calling the RemoveTrainingClasses obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str