2018
Expanding Holographic Embeddings for Knowledge Completion
NeurIPS 2018poster
Neural models operating over structured spaces such as knowledge graphs require a continuous embedding of the discrete elements of this space (such as entities) as well as the relationships between them. Relational embeddings with high expressivity, however, have high model complexity, making them c…