SCR: Training Graph Neural Networks with Consistency Regularization

Benchmark Model Rank Results
node-property-prediction-on-ogbn-magNARS-GAMLP+RLU+SCR#10Test Accuracy: 0.5631 ± 0.0021Ext. data: No
node-property-prediction-on-ogbn-magNARS-GAMLP+SCR-m#12Test Accuracy: 0.5451 ± 0.0019Ext. data: No
node-property-prediction-on-ogbn-magNARS-GAMLP+SCR#14Test Accuracy: 0.5432 ± 0.0018Ext. data: No
node-property-prediction-on-ogbn-papers100mGAMLP+RLU+SCR#3Test Accuracy: 0.6842 ± 0.0015Ext. data: No
node-property-prediction-on-ogbn-papers100mGAMLP+SCR-m#5Test Accuracy: 0.6816 ± 0.0012Ext. data: No
node-property-prediction-on-ogbn-papers100mGAMLP+SCR#6Test Accuracy: 0.6814 ± 0.0008Ext. data: No
node-property-prediction-on-ogbn-productsGIANT-XRT+SAGN+SCR+C&S#5Test Accuracy: 0.8680 ± 0.0007Ext. data: Yes
node-property-prediction-on-ogbn-productsGIANT-XRT+SAGN+MCR+C&S#6Test Accuracy: 0.8673 ± 0.0008Ext. data: Yes
node-property-prediction-on-ogbn-productsGIANT-XRT+SAGN+SCR#7Test Accuracy: 0.8667 ± 0.0009Ext. data: Yes
node-property-prediction-on-ogbn-productsGIANT-XRT+SAGN+MCR#8Test Accuracy: 0.8651 ± 0.0009Ext. data: Yes
node-property-prediction-on-ogbn-productsGIANT-XRT+GAMLP+MCR#12Test Accuracy: 0.8591 ± 0.0008Ext. data: Yes
node-property-prediction-on-ogbn-productsGAMLP+RLU+SCR+C&S#13Test Accuracy: 0.8520 ± 0.0008Ext. data: No
node-property-prediction-on-ogbn-productsGAMLP+RLU+SCR#14Test Accuracy: 0.8505 ± 0.0009Ext. data: No
node-property-prediction-on-ogbn-productsGAMLP+MCR#17Test Accuracy: 0.8462 ± 0.0003Ext. data: No
node-property-prediction-on-ogbn-productsSAGN+MCR#19Test Accuracy: 0.8441 ± 0.0005Ext. data: No