class_docstr: Appends the Local Degree Profile (LDP) from the `"A Simple yet
  Effective Baseline for Non-attribute Graph Classification"
  <https://arxiv.org/abs/1811.03508>`_ paper
  (functional name: :obj:`local_degree_profile`).
  
  .. math::
      \mathbf{x}_i = \mathbf{x}_i \, \Vert \, (\deg(i), \min(DN(i)),
      \max(DN(i)), \textrm{mean}(DN(i)), \textrm{std}(DN(i)))
  
  to the node features, where :math:`DN(i) = \{ \deg(j) \mid j \in
  \mathcal{N}(i) \}`.
code: def __init__(self) -> None:
      from torch_geometric.nn.aggr.fused import FusedAggregation
  
      self.aggr = FusedAggregation(["min", "max", "mean", "std"])
  
file_path: pytorch_geometric/torch_geometric/transforms/local_degree_profile.py
imports: import torch
  from torch_geometric.data import Data
  from torch_geometric.data.datapipes import functional_transform
  from torch_geometric.transforms import BaseTransform
  from torch_geometric.utils import degree
label_desc: Use image node_id 1 to create a new LocalDegreeProfile object from inherited base classes: BaseTransform with example: obj = LocalDegreeProfile()