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. 2020 Jun 10;12179:236–250. doi: 10.1007/978-3-030-52705-1_18

Table 3.

Node classification result of Citeseer

Method 10% 30% 50%
Mi-F1 Ma-F1 Mi-F1 Ma-F1 Mi-F1 Ma-F1
DeepWalk 0.5138 0.4711 0.5658 0.5301 0.5961 0.5415
Node2Vec 0.5302 0.4786 0.6233 0.5745 0.6317 0.5929
GraRep 0.4796 0.4613 0.5477 0.5098 0.5662 0.5026
LINE 0.5178 0.4825 0.5679 0.5249 0.6167 0.5733
SDNE 0.5013 0.4896 0.5691 0.5283 0.5877 0.5447
TADW 0.5939 0.5218 0.6361 0.5707 0.6631 0.5660
GAE 0.5912 0.5441 0.6439 0.5802 0.6451 0.5767
VGAE 0.6201 0.5638 0.6413 0.5789 0.6311 0.5799
DANE 0.6217 0.5740 0.6889 0.6495 0.7332 0.6832
MRNL 0.6833 0.6365 0.7176 0.6451 0.7301 0.6905