Bag of Tricks for Node Classification with Graph Neural Networks

Benchmark Model Rank Results
node-property-prediction-on-ogbn-arxivGAT+norm. adj.+label reuse#25Test Accuracy: 0.7391 ± 0.0012Ext. data: No
node-property-prediction-on-ogbn-arxivGAT+norm. adj.+labels#31Test Accuracy: 0.7366 ± 0.0011Ext. data: No
node-property-prediction-on-ogbn-arxivGAT+norm.adj.+labels#32Test Accuracy: 0.7365 ± 0.0011Ext. data: No
node-property-prediction-on-ogbn-arxivGCN+linear+labels#40Test Accuracy: 0.7306 ± 0.0024Ext. data: No
node-property-prediction-on-ogbn-proteinsGAT+BoT#6Ext. data: NoTest ROC-AUC: 0.8765 ± 0.0008
node-property-prediction-on-ogbn-proteinsGAT+EdgeFeatureAtt#10Ext. data: NoTest ROC-AUC: 0.8682 ± 0.0021