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Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion

Jahin, Md Abrar et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencemachine-learning
Uncertain knowledge graphs (UKGs) extend knowledge graphs by assigning each triple a continuous confidence score. Since most possible triples lack observed confidences, recent methods rely on semi-supervised learning to generate pseudo-labels. These methods initialize entity embeddings without using
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