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Table 3 Recalltest and Precision

From: Relation prediction in knowledge graph by Multi-Label Deep Neural Network

  FB15k WN18 WD40k
Method R e c a l l test Precision R e c a l l test Precision R e c a l l test Precision
KGML(α=1.0) 0.981 0.848 0.974 0.978 0.913 0.897
KGML(α=0.5) 0.986 0.809 0.973 0.976 0.899 0.908
KGML(α=0.0) 0.829 0.964 0.974 0.978 0.880 0.912
  1. Underlining in the table means the best accuracy in each method