Beyond Low-frequency Information in Graph Convolutional Networks

Benchmark Model Rank Results
node-classification-on-actorFAGCN#37Accuracy: 34.82 ± 1.35
node-classification-on-chameleonFAGCN#46Accuracy: 46.07 ± 2.11
node-classification-on-chameleon-60-20-20FAGCN#341:1 Accuracy: 49.47 ± 2.84
node-classification-on-citeseer-48-32-20FAGCN#141:1 Accuracy: 77.07 ± 2.05
node-classification-on-citeseer-60-20-20FAGCN#11:1 Accuracy: 82.37 ± 1.46
node-classification-on-citeseer-60-20-20H2GCN#221:1 Accuracy: 79.97 ± 0.69
node-classification-on-cora-48-32-20-fixedFAGCN#101:1 Accuracy: 88.05 ± 1.57
node-classification-on-cora-60-20-20-randomFAGCN#151:1 Accuracy: 88.85 ± 1.36
node-classification-on-cornellFAGCN#35Accuracy: 76.76 ± 5.87
node-classification-on-cornell-60-20-20FAGCN#211:1 Accuracy: 88.03 ± 5.6
node-classification-on-film-60-20-20-randomH2GCN#221:1 Accuracy: 38.85 ± 1.17
node-classification-on-film-60-20-20-randomFAGCN#341:1 Accuracy: 31.59 ± 1.37
node-classification-on-non-homophilicFAGCN#211:1 Accuracy: 88.03 ± 5.6
node-classification-on-non-homophilic-1FAGCN#181:1 Accuracy: 89.75 ± 6.37
node-classification-on-non-homophilic-10FAGCN#221:1 Accuracy: 34.82 ± 1.35
node-classification-on-non-homophilic-11FAGCN#291:1 Accuracy: 46.07 ± 2.11
node-classification-on-non-homophilic-12FAGCN#291:1 Accuracy: 30.83 ± 0.69
node-classification-on-non-homophilic-2FAGCN#181:1 Accuracy: 88.85 ± 4.39
node-classification-on-non-homophilic-4FAGCN#301:1 Accuracy: 49.47 ± 2.84
node-classification-on-non-homophilic-6FAGCN#101:1 Accuracy: 66.86±0.53
node-classification-on-non-homophilic-7FAGCN#231:1 Accuracy: 76.76 ± 5.87
node-classification-on-non-homophilic-8FAGCN#211:1 Accuracy: 79.61 ± 1.58
node-classification-on-non-homophilic-9H2GCN#101:1 Accuracy: 84.86 ± 7.23
node-classification-on-non-homophilic-9FAGCN#221:1 Accuracy: 76.49 ± 2.87
node-classification-on-pubmed-48-32-20-fixedFAGCN#221:1 Accuracy: 88.09 ± 1.38
node-classification-on-pubmed-60-20-20-randomFAGCN#181:1 Accuracy: 89.98 ± 0.54
node-classification-on-squirrelFAGCN#43Accuracy: 30.83 ± 0.69
node-classification-on-squirrel-60-20-20FAGCN#241:1 Accuracy: 42.24 ± 1.2
node-classification-on-texasFAGCN#40Accuracy: 76.49 ± 2.87
node-classification-on-texas-60-20-20-randomFAGCN#191:1 Accuracy: 88.85 ± 4.39
node-classification-on-wisconsinWRGAT#25Accuracy: 86.98 ± 3.78
node-classification-on-wisconsinFAGCN#40Accuracy: 79.61 ± 1.58
node-classification-on-wisconsin-60-20-20FAGCN#181:1 Accuracy: 89.75 ± 6.37