code: def forward(self, x, node_feature, emb, i, j):
      rbf, _, _ = emb
      if self.use_node_features:
          x = self.emb(x)
      else:
          x = self.node_embedding[None, :].expand(x.shape[0], -1)
      if node_feature != None and self.use_extra_node_feature:
          x = torch.cat((x, node_feature), 1)
      rbf0 = self.act(self.lin_rbf_0(rbf))
      e1 = self.act(self.lin(torch.cat([x[i], x[j], rbf0], dim=-1)))
      e2 = self.lin_rbf_1(rbf) * e1
  
      return e1, e2
  
imports: import torch
  from torch import nn
  from torch.nn import Linear, Embedding
  from torch_geometric.nn.inits import glorot_orthogonal
  from torch_geometric.nn import radius_graph
  from torch_scatter import scatter
  from math import sqrt
  from ...utils import xyz_to_dat
  from .features import dist_emb, angle_emb, torsion_emb
label_desc: Use image node_id 3 for calling the init obj's underlying member method code with example usage: obj.forward(x, node_feature, emb, i, j) and returns: e1,  e2