Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Benchmark Model Rank Results
node-classification-on-chameleon-60-20-20APPNP#331:1 Accuracy: 51.91 ± 0.56
node-classification-on-citeseerPPNP#10Accuracy: 75.83%Validation: YES
node-classification-on-citeseerAPPNP#13Accuracy: 75.73%
node-classification-on-citeseer-60-20-20APPNP#291:1 Accuracy: 68.59 ± 0.30
node-classification-on-coraPPNP#19Accuracy: 85.29% ± 0.25%Validation: YES
node-classification-on-coraAPPNP#21Accuracy: 85.09% ± 0.25%Validation: YES
node-classification-on-cora-60-20-20-randomAPPNP#291:1 Accuracy: 79.41 ± 0.38
node-classification-on-cornell-60-20-20APPNP#161:1 Accuracy: 91.80 ± 0.63
node-classification-on-film-60-20-20-randomAPPNP#211:1 Accuracy: 38.86 ± 0.24
node-classification-on-geniusAPPNP#16Accuracy: 85.36 ± 0.62
node-classification-on-non-homophilicAPPNP#161:1 Accuracy: 91.80 ± 0.63
node-classification-on-non-homophilic-1APPNP#171:1 Accuracy: 92.00 ± 3.59
node-classification-on-non-homophilic-13APPNP#221:1 Accuracy: 74.33 ± 0.38
node-classification-on-non-homophilic-14APPNP#181:1 Accuracy: 85.36 ± 0.62
node-classification-on-non-homophilic-15APPNP#221:1 Accuracy: 60.97 ± 0.10
node-classification-on-non-homophilic-2APPNP#171:1 Accuracy: 91.18 ± 0.70
node-classification-on-non-homophilic-4APPNP#291:1 Accuracy: 51.91 ± 0.56
node-classification-on-non-homophilic-6APPNP#61:1 Accuracy: 67.21±0.56
node-classification-on-penn94APPNP#26Accuracy: 74.33 ± 0.38
node-classification-on-pubmedAPPNP#30Accuracy: 79.73 ± 0.31Validation: YES
node-classification-on-pubmed-60-20-20-randomAPPNP#351:1 Accuracy: 85.02 ± 0.09
node-classification-on-squirrel-60-20-20APPNP#331:1 Accuracy: 34.77 ± 0.34
node-classification-on-texas-60-20-20-randomAPPNP#181:1 Accuracy: 91.18 ± 0.70
node-classification-on-wisconsin-60-20-20APPNP#171:1 Accuracy: 92.00 ± 3.59