We can also model the relationships between input objects; the similarity between the representations of two posts would entail agreement between the labels associated with them, thus allowing us to perform collective classification over all the input instances.
we define the factor graph corresponding to the dependencies between stance predictions in a debate thread, and use the similarity between the embedded representation of objects as a scoring function for the factors.