Nicolas Hubert

Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInE

2023 · arXiv (Cornell University)

Knowledge graph embedding models (KGEMs) have gained considerable traction in recent years. These models learn a vector representation of knowledge graph entities and relations, a.k.a. knowledge graph embeddings (KGEs). Learning versatile KGEs is desirable as …