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Table 3 The computational runtime (in seconds) required to fit the predictive models for our three proposed techniques on the four KG benchmark data sets

From: MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph

data set

Tree

Forest

Transform

AIFB

24.83 ± 1.04

132.36 ± 63.31

24.22 ± 0.61

BGS

12.41 ± 0.43

65.71 ± 34.49

6.63 ± 0.29

MUTAG

14.51 ± 0.60

104.88 ± 32.84

4.66 ± 0.37

AM

643.29 ± 12.25

7620.88 ± 2419.94

880.96 ± 22.04

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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