code: def forward(
      self,
      x: Tensor,
      edge_index: Tensor,
      edge_weight: Tensor,
      edge_attr: Tensor,
  ) -> Tensor:
      x = self.conv(x, edge_index, edge_weight, edge_attr)
      x = self.act(x)
      x = self.lin(x)
      return x
  
imports: import os
  import os.path
  import warnings
  from math import pi
  from typing import Callable, Dict, Optional, Tuple
  import numpy
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch.nn import Embedding, Linear, ModuleList, Sequential
  from torch_geometric.data import Dataset, download_url, extract_zip
  from torch_geometric.nn import MessagePassing, SumAggregation, radius_graph
  from torch_geometric.nn.resolver import aggregation_resolver
  from torch_geometric.typing import OptTensor
label_desc: Use image node_id 3 for calling the InteractionBlock obj's underlying member method code with example usage: obj.forward(x, edge_index, edge_weight, edge_attr) and returns: x