RotatE
RotatE
**RotatE** is a method for generating graph embeddings which is able to model and infer various relation patterns including: symmetry/antisymmetry, inversion, and composition. Specifically, the RotatE model defines each relation as a rotation from the source entity to the target entity in the complex vector space. The RotatE model is trained using a [self-adversarial negative sampling](https://paperswithcode.com/method/self-adversarial-negative-sampling) technique.
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
https://paperswithcode.com/paper/rotate-knowledge-graph-embedding-by
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space