Relations Prediction for Knowledge Graph Completion using Large Language Models

arXiv:2405.02738v1 Announce Type: new
Abstract: Knowledge Graphs have been widely used to represent facts in a structured format. Due to their large scale applications, knowledge graphs suffer from being incomplete. The relation prediction task obtains knowledge graph completion by assigning one or more possible relations to each pair of nodes. In this work, we make use of the knowledge graph node names to fine-tune a large language model for the relation prediction task. By utilizing the node names only we …

abstract applications arxiv cs.ai cs.cl facts format graph graphs knowledge knowledge graph knowledge graphs language language models large language large language models nodes prediction relations scale type