class TransEInteraction(p, power_norm=False)[source]

Bases: NormBasedInteraction[FloatTensor, FloatTensor, FloatTensor]

A stateful module for the TransE interaction function.

Initialize the norm-based interaction function.

  • p (int) – The norm used with torch.linalg.vector_norm(). Typically is 1 or 2.

  • power_norm (bool) – Whether to use the p-th power of the \(L_p\) norm. It has the advantage of being differentiable around 0, and numerically more stable.

Methods Summary

func(r, t[, p, power_norm])

Evaluate the TransE interaction function.

Methods Documentation

func(r, t, p=2, power_norm=False)

Evaluate the TransE interaction function.

  • h (FloatTensor) – shape: (*batch_dims, dim) The head representations.

  • r (FloatTensor) – shape: (*batch_dims, dim) The relation representations.

  • t (FloatTensor) – shape: (*batch_dims, dim) The tail representations.

  • p (Union[int, str]) – The p for the norm.

  • power_norm (bool) – Whether to return the powered norm.

Return type:



shape: batch_dims The scores.