GraphMix: Improved Training of GNNs for Semi-Supervised Learning

Benchmark Model Rank Results
node-classification-on-citeseer-with-publicGraphMix(GCN)#6Accuracy: 74.52 ± 0.59
node-classification-on-coauthor-csGraphMix (GCN)#21Accuracy: 91.83 ± 0.51
node-classification-on-coauthor-physicsGraphMix (GCN)#13Accuracy: 94.49 ± 0.84
node-classification-on-cora-full-supervisedGraphMix (GCN)#8Accuracy: 61.8%
node-classification-on-cora-with-public-splitGraphMix#14Accuracy: 83.94 ± 0.57
node-classification-on-cora-with-public-splitGraphMix (GCN)#15Accuracy: 83.94 ± 0.57
node-classification-on-pubmed-with-publicGraphMix (GCN)#9Accuracy: 80.98 ± 0.55
node-classification-on-pubmed-with-publicGCN(predicted-targets)#13Accuracy: 80.42%