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Table 4 Median WAF scores for the HP gene annotation ablation study. Best result for each knowledge graph embeddings approach and machine learning algorithm or CS is bold

From: Multi-domain knowledge graph embeddings for gene-disease association prediction

  

RDF2Vec

OPA2Vec

OWL2Vec*

DistMult

CS

HPd-f+GO

0.484

0.532

0.493

0.499

HPd-s+GO+LD

0.503

0.525

0.502

0.497

HPd-s+GO+Map

0.463

0.526

0.495

0.500

HPd-s+GO+LD+Map

0.506

0.525

0.502

0.502

RF

HPd-f+GO

0.664

0.689

0.597

0.551

HPd-s+GO+LD

0.657

0.703

0.604

0.576

HPd-s+GO+Map

0.659

0.700

0.617

0.568

HPd-s+GO+LD+Map

0.663

0.702

0.617

0.576

XGB

HPd-f+GO

0.635

0.672

0.571

0.547

HPd-s+GO+LD

0.634

0.683

0.587

0.565

HPd-s+GO+Map

0.632

0.679

0.588

0.570

HPd-s+GO+LD+Map

0.631

0.684

0.595

0.569