Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Benchmark Model Rank Results
node-classification-on-actorGloGNN++#12Accuracy: 37.7 ± 1.40
node-classification-on-actorGloGNN#18Accuracy: 37.35 ± 1.30
node-classification-on-arxiv-yearGloGNN++#8Accuracy: 54.79±0.25
node-classification-on-chameleonGloGNN++#15Accuracy: 71.21±1.84
node-classification-on-chameleonGloGNN#21Accuracy: 69.78±2.42
node-classification-on-citeseer-48-32-20GloGNN#41:1 Accuracy: 77.41 ± 1.65
node-classification-on-citeseer-48-32-20GloGNN++#61:1 Accuracy: 77.22 ± 1.78
node-classification-on-cora-48-32-20-fixedGloGNN++#31:1 Accuracy: 88.33 ± 1.09
node-classification-on-cora-48-32-20-fixedGloGNN#41:1 Accuracy: 88.31 ± 1.13
node-classification-on-cornellGloGNN++#10Accuracy: 85.95±5.10
node-classification-on-cornellGloGNN#23Accuracy: 83.51±4.26
node-classification-on-geniusGloGNN++#6Accuracy: 90.91 ± 0.13
node-classification-on-geniusGloGNN#9Accuracy: 90.66 ± 0.11
node-classification-on-geniusGCNJK#13Accuracy: 89.30 ± 0.19
node-classification-on-geniusMLP#15Accuracy: 86.68 ± 0.09
node-classification-on-non-homophilic-10GloGNN++#51:1 Accuracy: 37.70 ± 1.40
node-classification-on-non-homophilic-10GloGNN#81:1 Accuracy: 37.35 ± 1.30
node-classification-on-non-homophilic-11GloGNN++#81:1 Accuracy: 71.21 ± 1.84
node-classification-on-non-homophilic-11GloGNN#121:1 Accuracy: 69.78 ± 2.42
node-classification-on-non-homophilic-12GloGNN++#111:1 Accuracy: 57.88 ± 1.76
node-classification-on-non-homophilic-12GloGNN#121:1 Accuracy: 57.54 ± 1.39
node-classification-on-non-homophilic-13GloGNN++#31:1 Accuracy: 85.74 ± 0.42
node-classification-on-non-homophilic-13GloGNN#41:1 Accuracy: 85.57 ± 0.35
node-classification-on-non-homophilic-14GloGNN++#81:1 Accuracy: 90.91 ± 0.13
node-classification-on-non-homophilic-14GloGNN#111:1 Accuracy: 90.66 ± 0.11
node-classification-on-non-homophilic-15GloGNN++#31:1 Accuracy: 66.34 ± 0.29
node-classification-on-non-homophilic-15GloGNN#51:1 Accuracy: 66.19 ± 0.29
node-classification-on-non-homophilic-7GloGNN++#41:1 Accuracy: 85.95 ± 5.10
node-classification-on-non-homophilic-7GloGNN#141:1 Accuracy: 83.51 ± 4.26
node-classification-on-non-homophilic-8GloGNN++#81:1 Accuracy: 88.04 ± 3.22
node-classification-on-non-homophilic-8GloGNN#131:1 Accuracy: 87.06 ± 3.53
node-classification-on-non-homophilic-9GloGNN#121:1 Accuracy: 84.32 ± 4.15
node-classification-on-non-homophilic-9GloGNN++#141:1 Accuracy: 84.05 ± 4.90
node-classification-on-penn94GloGNN++#4Accuracy: 85.74±0.42
node-classification-on-penn94GloGNN#5Accuracy: 85.57 ± 0.35
node-classification-on-pokecGloGNN++#4Accuracy: 83.05±0.07
node-classification-on-pubmed-48-32-20-fixedGloGNN#81:1 Accuracy: 89.62 ± 0.35
node-classification-on-pubmed-48-32-20-fixedGloGNN++#131:1 Accuracy: 89.24 ± 0.39
node-classification-on-squirrelGloGNN++#18Accuracy: 57.88±1.76–
node-classification-on-squirrelGloGNN#20Accuracy: 57.54±1.39
node-classification-on-texasGloGNN#25Accuracy: 84.32±4.15
node-classification-on-texasGloGNN++#26Accuracy: 84.05±4.90
node-classification-on-wisconsinGloGNN++#14Accuracy: 88.04±3.22
node-classification-on-wisconsinGloGNN#24Accuracy: 87.06±3.53