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Table 2 Performance results for different feature sets

From: Using predicate and provenance information from a knowledge graph for drug efficacy screening

Feature set

AUC Guney reference set

AUC EMC reference set

Overlap and co-occurrence features

59.8% (0.9%)*

64.9% (0.6%)

Overlap and predicate features

77.6% (1.6%)

73.1% (0.9%)

Overlap and provenance features

75.1% (1.7%)

71.3% (1.0%)

Overlap, predicate and provenance features (all relationships)

78.1% (1.7%)

74.3% (1.0%)

Predicate and provenance features (indirect relationships only)

74.4% (1.9%)

70.6% (1.0%)

Guney’s proximity metric

65.6% (1.4%)

64.6% (0.6%)

  1. *Values indicate mean and standard deviation of the AUCs of 100 experiments