CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. (arXiv:2205.08012v2 [cs.CL] UPDATED)

Knowledge graph (KG) link prediction is a fundamental task in artificial
intelligence, with applications in natural language processing, information
retrieval, and biomedicine. Recently, promising results have been achieved by
leveraging cross-modal information in KGs, using ensembles that combine
knowledge graph embeddings (KGEs) and contextual language models (LMs).
However, existing ensembles are either (1) not consistently effective in terms
of ranking accuracy gains or (2) impractically inefficient on larger datasets
due to the combinatorial explosion problem of pairwise ranking with deep …

arxiv graph knowledge knowledge graph link prediction prediction