Knowledge Graphs

ComplEx is a neural network-based model for knowledge graph embeddings that captures complex relationships.

DistMult is a tensor-based model used for knowledge graph embeddings and link prediction.

RotatE is a knowledge graph embedding model that uses rotation-based embeddings for entities and relations.

TransE is a model for knowledge graph embeddings that represents entities and relationships in a continuous vector space.

TransH is a knowledge graph embedding model that projects entities into hyperplanes for improved relationship representation.