SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction. (arXiv:2210.04870v2 [cs.CL] UPDATED)

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 consider that the schema of …

arxiv graph knowledge knowledge graph link prediction prediction schema smile