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distmult.py
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distmult.py
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import torch
from kge import Config, Dataset
from kge.model.kge_model import RelationalScorer, KgeModel
class DistMultScorer(RelationalScorer):
r"""Implementation of the DistMult KGE scorer."""
def __init__(self, config: Config, dataset: Dataset, configuration_key=None):
super().__init__(config, dataset, configuration_key)
def score_emb(self, s_emb, p_emb, o_emb, combine: str):
n = p_emb.size(0)
if combine == "spo":
out = (s_emb * p_emb * o_emb).sum(dim=1)
elif combine == "sp_":
out = (s_emb * p_emb).mm(o_emb.transpose(0, 1))
elif combine == "_po":
out = (o_emb * p_emb).mm(s_emb.transpose(0, 1))
else:
return super().score_emb(s_emb, p_emb, o_emb, combine)
return out.view(n, -1)
class DistMult(KgeModel):
r"""Implementation of the DistMult KGE model."""
def __init__(
self,
config: Config,
dataset: Dataset,
configuration_key=None,
init_for_load_only=False,
):
super().__init__(
config=config,
dataset=dataset,
scorer=DistMultScorer,
configuration_key=configuration_key,
init_for_load_only=init_for_load_only,
)