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Translating Embeddings for Modeling Multi-relational Data

Translating Embeddings for ModelingMulti-relational DataAntoine Bordes, Nicolas Usunier, Alberto Garcia-Dur anUniversit e de Technologie de Compi`egne CNRSH eudiasyc UMR 7253 Compi`egne, France{bordesan, nusunier, Weston, Oksana YakhnenkoGoogle111 8th avenueNew York, NY, USA{jweston, consider the problem of embedding entities and relationships of Multi-relational data in low-dimensional vector spaces. Our objective is to propose acanonical model which is easy to train, contains a reduced number of parametersand can scale up to very large databases. Hence, we proposeTransE, a methodwhich models relationships by interpreting them as translations operating on thelow-dimensional Embeddings of the entities.}}

The embeddings take values in Rk (kis a model hyperparameter) and are denoted with the same letters, in boldface characters. The basic idea behind our model is that the functional relation induced by the ‘-labeled edges corresponds to a translation of the embeddings, i.e. we want

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