UnstructuredModelInteraction

class UnstructuredModelInteraction(p, power_norm=True)

Bases: pykeen.nn.modules.TranslationalInteraction[torch.FloatTensor, None, torch.FloatTensor]

A stateful module for the UnstructuredModel interaction function.

See also

pykeen.nn.functional.unstructured_model_interaction()

Initialize the translational interaction function.

Parameters

• p (int) – The norm used with torch.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.

Attributes Summary

relation_shape

The symbolic shapes for relation representations

Methods Summary

func(t, p[, power_norm])

Evaluate the SimplE interaction function.

Attributes Documentation

relation_shape: Sequence[str] = ()

The symbolic shapes for relation representations

Methods Documentation

func(t, p, power_norm=True)

Evaluate the SimplE interaction function.

Parameters

• h (FloatTensor) – shape: (batch_size, num_heads, 1, 1, dim) The head representations.

• t (FloatTensor) – shape: (batch_size, 1, 1, num_tails, dim) The tail representations.

• p (int) – The parameter p for selecting the norm.

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

Return type

FloatTensor

Returns

shape: (batch_size, num_heads, num_relations, num_tails) The scores.