Training Graph Neural Networks with 1000 Layers

Benchmark Model Rank Results
node-property-prediction-on-ogbn-arxivRevGAT+N.Adj+LabelReuse+SelfKD#14Test Accuracy: 0.7426 ± 0.0017Ext. data: No
node-property-prediction-on-ogbn-arxivRevGAT+NormAdj+LabelReuse#20Test Accuracy: 0.7402 ± 0.0018Ext. data: No
node-property-prediction-on-ogbn-productsRevGNN-112#26Test Accuracy: 0.8307 ± 0.0030Ext. data: No
node-property-prediction-on-ogbn-proteinsRevGNN-Wide#4Ext. data: NoTest ROC-AUC: 0.8824 ± 0.0015
node-property-prediction-on-ogbn-proteinsRevGNN-Deep#5Ext. data: NoTest ROC-AUC: 0.8774 ± 0.0013