Table 4. Network methods for node classification (micro-F1, metric lies between (0,1) and higher value means better results).

% Labels	5%	10%	30%	50%
CORA
DeepWalk	0.72 ± 0.01	0.77 ± 0.00	0.81 ± 0.00	0.82 ± 0.01
Node2Vec	0.74 ± 0.01	0.76 ± 0.01	0.80 ± 0.00	0.81 ± 0.01
HOPE	0.29 ± 0.00	0.30 ± 0.00	0.30 ± 0.00	0.31 ± 0.00
CITESEER
DeepWalk	0.63 ± 0.00	0.65 ± 0.01	0.67 ± 0.00	0.68 ± 0.00
Node2Vec	0.63 ± 0.01	0.65 ± 0.00	0.67 ± 0.00	0.68 ± 0.00
HOPE	0.12 ± 0.00	0.13 ± 0.00	0.17 ± 0.00	0.20 ± 0.00
DBLP
DeepWalk	0.52 ± 0.00	0.53 ± 0.00	0.53 ± 0.00	0.53 ± 0.00
Node2Vec	0.52 ± 0.00	0.53 ± 0.00	0.53 ± 0.00	0.53 ± 0.00
HOPE	0.29 ± 0.01	0.30 ± 0.01	0.31 ± 0.00	0.31 ± 0.00

Note:

The best values with respect to confidence intervals are highlighted in bold.