A Flexible Generative Framework for Graph-based Semi-supervised Learning

Benchmark Model Rank Results
node-classification-on-citeseerG3NN#21Accuracy: 74.5%Training Split: 20 per node with early stopping set
node-classification-on-citeseer-with-publicG3NN#7Accuracy: 74.5%
node-classification-on-coraG3NN#36Accuracy: 82.9%Training Split: 20 per node with early stopping set
node-classification-on-cora-with-public-splitG3NN#24Accuracy: 82.9%
node-classification-on-pubmedG3NN#45Accuracy: 78.4%Training Split: 20 per node with early stopping set
node-classification-on-pubmed-with-publicG3NN#25Accuracy: 78.4%