class_docstr:  The ComENet from the `"ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs" <https://arxiv.org/abs/2206.08515>`_ paper.
  
  Args:
      cutoff (float, optional): Cutoff distance for interatomic interactions. (default: :obj:`8.0`)
      num_layers (int, optional): Number of building blocks. (default: :obj:`4`)
      hidden_channels (int, optional): Hidden embedding size. (default: :obj:`256`)
      middle_channels (int, optional): Middle embedding size for the two layer linear block. (default: :obj:`256`)
      out_channels (int, optional): Size of each output sample. (default: :obj:`1`)
      num_radial (int, optional): Number of radial basis functions. (default: :obj:`3`)
      num_spherical (int, optional): Number of spherical harmonics. (default: :obj:`2`)
      num_output_layers (int, optional): Number of linear layers for the output blocks. (default: :obj:`3`)
code: def forward(self, batch_data):
      return self._forward(batch_data)
  
imports: from torch_cluster import radius_graph
  from torch_geometric.nn import GraphConv, GraphNorm
  from torch_geometric.nn import inits
  from .features import angle_emb, torsion_emb
  from torch_scatter import scatter, scatter_min
  from torch.nn import Embedding
  import torch
  from torch import nn
  from torch import Tensor
  import torch.nn.functional
  import math
  from math import sqrt
label_desc: Use image node_id 4 for calling the ComENet obj's underlying member method code with example usage: obj.forward(batch_data) and returns: self