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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