SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction

arXiv:2210.04870v3 Announce Type: replace
Abstract: Link prediction is the task of inferring missing links between entities in knowledge graphs. Embedding-based methods have shown effectiveness in addressing this problem by modeling relational patterns in triples. However, the link prediction task often requires contextual information in entity neighborhoods, while most existing embedding-based methods fail to capture it. Additionally, little attention is paid to the diversity of entity representations in different contexts, which often leads to false prediction results. In this situation, we …

arxiv cs.ai cs.cl graph knowledge knowledge graph link prediction prediction schema smile type