Mixing type-constrained and random negative sampling improves KGE link prediction on FB15k-237 and Hetionet for all four tested models, but gives near-zero or negative gains on WN18RR.
Translating embeddings for modeling multi-relational data
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Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models
Mixing type-constrained and random negative sampling improves KGE link prediction on FB15k-237 and Hetionet for all four tested models, but gives near-zero or negative gains on WN18RR.