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Table 2 Micro- F1 and Macro- F1 scores on CitNet dataset in link prediction (α=0.1,β=0.1)

From: An adversarial learning approach for discovering social relations in human-centered information networks

%Training edges 10% 30% 50% 70% 90%
  Micro- F1 Macro- F1 Micro- F1 Macro- F1 Micro- F1 Macro- F1 Micro- F1 Macro- F1 Micro- F1 Macro- F1
GAN 0.7734 0.7722 0.7714 0.7703 0.7725 0.7713 0.7715 0.7704 0.7718 0.7707
LSGAN 0.8124 0.8085 0.8130 0.8092 0.8109 0.8071 0.8120 0.8083 0.8114 0.8076
DeepWalk 0.6041 0.3766 0.6041 0.3766 0.6041 0.3766 0.6041 0.3766 0.6041 0.3766
node2vec 0.6041 0.3766 0.6041 0.3766 0.6041 0.3766 0.6041 0.3766 0.6041 0.3766
AIDW 0.6043 0.3775 0.6043 0.3775 0.6043 0.3776 0.6043 0.3774 0.6043 0.3775
Jaccard 0.6050 0.3792 0.6050 0.3792 0.6050 0.3792 0.6050 0.3792 0.6050 0.3792
CosSim 0.3990 0.2897 0.3990 0.2897 0.3990 0.2897 0.3990 0.2897 0.3990 0.2897
SRGAN 0.8328 0.8248 0.8325 0.8248 0.8335 0.8259 0.8337 0.8261 0.8340 0.8265