Uncertainty in Representation Learning on Knowledge Graphs
arXiv:2610.06974v1 Announce Type: new Abstract: Knowledge graph embedding (KGE) methods represent entities and predicates in continuous vector spaces to infer missing knowledge. Despite strong benchmark performance, their predictions often lack principled reliability guarantees, limiting their use…
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- 2026-10-07 04:00 · arXiv cs.LG
Uncertainty in Representation Learning on Knowledge Graphs