Directional Graph Networks

Benchmark Model Rank Results
graph-classification-on-cifar10-100kDGN#10Accuracy (%): 72.84
graph-property-prediction-on-ogbg-molhivDGN#15Test ROC-AUC: 0.7970 ± 0.0097Ext. data: No
graph-property-prediction-on-ogbg-molpcbaDGN#16Test AP: 0.2885 ± 0.0030Ext. data: NoValidation AP: 0.2970 ± 0.0021
node-classification-on-pattern-100kDGN#2Accuracy (%): 86.680