se_interaction
- se_interaction(h, r_h, r_t, t, p, power_norm=False)[source]
Evaluate the Structured Embedding interaction function.
\[f(h, r, t) = -\|R_h h - R_t t\|\]- Parameters
h (
FloatTensor
) – shape: (*batch_dims, dim) The head representations.r_h (
FloatTensor
) – shape: (*batch_dims, rel_dim, dim) The relation-specific head projection.r_t (
FloatTensor
) – shape: (*batch_dims, rel_dim, dim) The relation-specific tail projection.t (
FloatTensor
) – shape: (*batch_dims, dim) The tail representations.p (
int
) – The p for the norm. cf.torch.linalg.vector_norm()
.power_norm (
bool
) – Whether to return the powered norm.
- Return type
FloatTensor
- Returns
shape: batch_dims The scores.