most citedEntity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph Embedding

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cs.AI2023

Unifying Structure and Language Semantic for Efficient Contrastive Knowledge Graph Completion with Structured Entity Anchors

Sang-Hyun Je, Wontae Choi, Kwangjin Oh

The goal of knowledge graph completion (KGC) is to predict missing links in a KG using trained facts that are already known. In recent, pre-trained language model (PLM) based metho…