Note that on the imbalanced A-CHESS data set, on the standard classification task, KCCA embeddings perform better than the other baselines across all three performance metrics.
from Table 2, GlvCC embeddings achieve a higher average Fscore and AUC over KCCA embeddings that obtain the highest precision.