# SimplE

class SimplE(*, embedding_dim=200, clamp_score=None, entity_initializer=None, relation_initializer=None, regularizer=None, regularizer_kwargs=None, **kwargs)[source]

Bases: ERModel

An implementation of SimplE [kazemi2018].

SimplE is an extension of canonical polyadic (CP), an early tensor factorization approach in which each entity $$e \in \mathcal{E}$$ is represented by two vectors $$\textbf{h}_e, \textbf{t}_e \in \mathbb{R}^d$$ and each relation by a single vector $$\textbf{r}_r \in \mathbb{R}^d$$. Depending whether an entity participates in a triple as the head or tail entity, either $$\textbf{h}$$ or $$\textbf{t}$$ is used. Both entity representations are learned independently, i.e. observing a triple $$(h,r,t)$$, the method only updates $$\textbf{h}_h$$ and $$\textbf{t}_t$$. In contrast to CP, SimplE introduces for each relation $$\textbf{r}_r$$ the inverse relation $$\textbf{r'}_r$$, and formulates its the interaction model based on both:

$f(h,r,t) = \frac{1}{2}\left(\left\langle\textbf{h}_h, \textbf{r}_r, \textbf{t}_t\right\rangle + \left\langle\textbf{h}_t, \textbf{r'}_r, \textbf{t}_h\right\rangle\right)$

Therefore, for each triple $$(h,r,t) \in \mathbb{K}$$, both $$\textbf{h}_h$$ and $$\textbf{h}_t$$ as well as $$\textbf{t}_h$$ and $$\textbf{t}_t$$ are updated.

Initialize the model.

Parameters

Attributes Summary

 hpo_default The default strategy for optimizing the model's hyper-parameters loss_default_kwargs The default parameters for the default loss function class regularizer_default_kwargs The power sum settings used by [trouillon2016] for SimplE

Attributes Documentation

hpo_default: ClassVar[Mapping[str, Any]] = {'embedding_dim': {'high': 256, 'low': 16, 'q': 16, 'type': <class 'int'>}}

The default strategy for optimizing the model’s hyper-parameters

loss_default_kwargs: ClassVar[Mapping[str, Any]] = {}

The default parameters for the default loss function class

regularizer_default_kwargs: ClassVar[Mapping[str, Any]] = {'normalize': True, 'p': 2.0, 'weight': 20}

The power sum settings used by [trouillon2016] for SimplE