TransE

2000년 도입 · 논문 73편에서 사용

TransE is an energy-based model that produces knowledge base embeddings. It models relationships by interpreting them as translations operating on the low-dimensional embeddings of the entities. Relationships are represented as translations in the embedding space: if $\left(h, \mathcal{l}, t\right)$ holds, the embedding of the tail entity $t$ should be close to the embedding of the head entity $h$ plus some vector that depends on the relationship $\mathcal{l}$.

출처: Translating Embeddings for Modeling Multi-relational Data

소개 논문: Translating Embeddings for Modeling Multi-relational Data