Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning

Benchmark Model Rank Results
node-classification-on-citeseer-with-publicSEGCN#14Accuracy: 73.4 ± 0.7
node-classification-on-coraSEGCN#30Accuracy: 83.5% ± 0.4%
node-classification-on-cora-fixed-20-node-perSEGCN#4Accuracy: 83.5 ± 0.4
node-classification-on-pubmed-with-publicSEGCN#23Accuracy: 78.9 ± 0.7