A PyKEEN extension integrates seven known negative sampling strategies; experiments on FB15K and WN18 show pool sizes shrink sharply and random fallback often dominates at high sample counts.
Advances in Neural Information Processing Systems 33, 9649–9661 (2020)
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Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
A PyKEEN extension integrates seven known negative sampling strategies; experiments on FB15K and WN18 show pool sizes shrink sharply and random fallback often dominates at high sample counts.