class_docstr: FiGNN is a CTR prediction model based on GGNN,
  which can model sophisticated interactions among feature fields on the graph-structured features.
class_docstr_tok: ["FiGNN","is","a","CTR","prediction","model","based","on","GGNN",",","which","can","model","sophisticated","interactions","among","feature","fields","on","the","graph-structured","features","."]
code: def predict(self, interaction):
      return self.sigmoid(self.forward(interaction))
  
file_path: RecBole/recbole/model/context_aware_recommender/fignn.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.init import xavier_uniform_, xavier_normal_, constant_
  from itertools import product
  from recbole.utils import InputType
  from recbole.model.abstract_recommender import ContextRecommender
label_desc: Use image node_id 6 for calling the FiGNN obj's underlying member method code with example usage: obj.predict(interaction) and returns: self