code: def __init__(self):
      self.symbols = [
          "B",
          "C",
          "N",
          "O",
          "F",
          "Si",
          "P",
          "S",
          "Cl",
          "As",
          "Se",
          "Br",
          "Te",
          "I",
          "At",
          "other",
      ]
  
      self.hybridizations = [
          Chem.rdchem.HybridizationType.SP,
          Chem.rdchem.HybridizationType.SP2,
          Chem.rdchem.HybridizationType.SP3,
          Chem.rdchem.HybridizationType.SP3D,
          Chem.rdchem.HybridizationType.SP3D2,
          "other",
      ]
  
      self.stereos = [
          Chem.rdchem.BondStereo.STEREONONE,
          Chem.rdchem.BondStereo.STEREOANY,
          Chem.rdchem.BondStereo.STEREOZ,
          Chem.rdchem.BondStereo.STEREOE,
      ]
  
file_path: pytorch_geometric/examples/attentive_fp.py
imports: import os.path
  from math import sqrt
  import torch
  import torch.nn.functional
  from rdkit import Chem
  from torch_geometric.datasets import MoleculeNet
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn.models import AttentiveFP
label_desc: Use image node_id 1 to create a new GenFeatures object  with example: obj = GenFeatures()