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Table 2 Classification on node labels in the medical network

From: edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

Algorithm

Precision

Recall

F1 measure

Hamming loss

DeepWalk

0.5624

0.5708

0.5650

0.4291

LINE

0.6366

0.6390

0.6279

0.3609

node2vec

0.5652

0.5656

0.5622

0.4343

edge2vec

0.7554*

0.7546*

0.7544*

0.2453*

  1. Symbol “*” highlights the cases where our model significantly beats the best baseline with p value smaller than 0.01
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BMC Bioinformatics

ISSN: 1471-2105

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