KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction. (arXiv:2211.02744v1 [cs.CL])

The ability of knowledge graphs to represent complex relationships at scale
has led to their adoption for various needs including knowledge representation,
question-answering, fraud detection, and recommendation systems. Knowledge
graphs are often incomplete in the information they represent, necessitating
the need for knowledge graph completion tasks, such as link and relation
prediction. Pre-trained and fine-tuned language models have shown promise in
these tasks although these models ignore the intrinsic information encoded in
the knowledge graph, namely the entity and relation …

arxiv graph knowledge knowledge graph language language models link prediction prediction