Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks

Benchmark Model Rank Results
node-property-prediction-on-ogbn-arxivGAT-node2vec + BoT + self-KD#15Test Accuracy: 0.7420 ± 0.0004Ext. data: No
node-property-prediction-on-ogbn-arxivGAT-node2vec + BoT#19Test Accuracy: 0.7405 ± 0.0004Ext. data: No
node-property-prediction-on-ogbn-magR-GSN + metapath2vec#20Test Accuracy: 0.5109 ± 0.0038Ext. data: No