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News/Link Prediction or Perdition: the Seeds of Instability in Knowledge Graph Embeddings
arxiv
PublishedJune 3, 2026 at 4:00 AM

Link Prediction or Perdition: the Seeds of Instability in Knowledge Graph Embeddings

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arXiv:2606.03365v1 Announce Type: new Abstract: Embedding models (KGEMs) constitute the main link prediction approach to complete knowledge graphs. Standard evaluation protocols emphasize rank-based metrics such as MRR or Hits@$K$, but usually overlook the influence of random seeds on result stabili

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