code: def forward(self, x, feature1, feature2, edge_index, batch, tags):
      x = self.act(self.lin(x, tags))
  
      feature1 = self.lin_feature1(feature1, tags)
      h1 = self.conv1(x, edge_index, feature1)
      h1 = self.lin1(h1, tags)
      h1 = self.act(h1)
  
      feature2 = self.lin_feature2(feature2, tags)
      h2 = self.conv2(x, edge_index, feature2)
      h2 = self.lin2(h2, tags)
      h2 = self.act(h2)
  
      h = self.lin_cat(torch.cat([h1, h2], 1), tags)
  
      h = h + x
      for lin in self.lins:
          h = self.act(lin(h, tags)) + h
      h = self.norm(h, batch)
      h = self.final(h, tags)
      return h
  
imports: from torch_cluster import radius_graph
  from torch_geometric.nn import GraphConv, GraphNorm
  from torch_geometric.nn import inits
  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 3 for calling the SimpleInteractionBlock obj's underlying member method code with example usage: obj.forward(x, feature1, feature2, edge_index, batch, tags) and returns: h