GCNH: A Simple Method For Representation Learning On Heterophilous Graphs

Benchmark Model Rank Results
node-classification-on-actorGCNH#23Accuracy: 36.89 ± 1.50
node-classification-on-chameleonGCNH#14Accuracy: 71.56±1.86
node-classification-on-cornellGCNH#8Accuracy: 86.49±6.98
node-classification-on-squirrelGCNH#14Accuracy: 61.85±1.54
node-classification-on-texasGCNH#10Accuracy: 87.84±3.87
node-classification-on-wisconsinGCNH#20Accuracy: 87.65±3.59