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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