About

Learning and extracting the hidden patterns among the relations in a Knowledge Graph.

Benchmarks

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

25 May 2019mlwin-de/MDE

We propose the Multiple Distance Embedding model (MDE) that addresses these limitations and a framework to collaboratively combine variant latent distance-based terms.

LINK PREDICTION RELATIONAL PATTERN LEARNING RELATIONAL REASONING