Relational Pattern Learning

1 papers with code • 0 benchmarks • 2 datasets

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

Most implemented papers

MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

mlwin-de/MDE 25 May 2019

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