Non-Local Graph Neural Networks

Benchmark Model Rank Results
node-classification-on-cora-48-32-20-fixed-splitsNLGAT#11:1 Accuracy: 88.5 ± 1.8
node-classification-on-cora-48-32-20-fixed-splitsNLGCN#91:1 Accuracy: 88.1 ± 1.0
node-classification-on-cora-48-32-20-fixed-splitsNLMLP#261:1 Accuracy: 76.9 ± 1.8
node-classification-on-non-homophilic-heterophilic-graphs-on-film-48-32-20-fixed-splitsNLMLP#11:1 Accuracy: 37.9 ± 1.3
node-classification-on-non-homophilic-heterophilic-graphs-on-film-48-32-20-fixed-splitsNLGCN#251:1 Accuracy: 31.6 ± 1.0
node-classification-on-non-homophilic-heterophilic-graphs-on-film-48-32-20-fixed-splitsNLGAT#271:1 Accuracy: 29.5 ± 1.3
node-classification-on-actorNLMLP#7Accuracy: 37.9 ± 1.3
node-classification-on-actorNLGCN#44Accuracy: 31.6 ± 1.0
node-classification-on-actorNLGAT#46Accuracy: 29.5 ± 1.3
node-classification-on-non-homophilic-heterophilic-graphs-on-texas-48-32-20-fixed-splitsNLMLP#91:1 Accuracy: 85.4 ± 3.8
node-classification-on-non-homophilic-heterophilic-graphs-on-texas-48-32-20-fixed-splitsNLGCN#261:1 Accuracy: 65.5 ± 6.6
node-classification-on-non-homophilic-heterophilic-graphs-on-texas-48-32-20-fixed-splitsNLGAT#271:1 Accuracy: 62.6 ± 7.1
node-classification-on-non-homophilic-heterophilic-graphs-on-squirrel-48-32-20-fixed-splitsNLGCN#101:1 Accuracy: 59.0 ± 1.2
node-classification-on-non-homophilic-heterophilic-graphs-on-squirrel-48-32-20-fixed-splitsNLGAT#131:1 Accuracy: 56.8 ± 2.5
node-classification-on-non-homophilic-heterophilic-graphs-on-squirrel-48-32-20-fixed-splitsNLMLP#281:1 Accuracy: 33.7 ± 1.5
node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-48-32-20-fixed-splitsNLGCN#111:1 Accuracy: 70.1 ± 2.9
node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-48-32-20-fixed-splitsNLGAT#191:1 Accuracy: 65.7 ± 1.4
node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-48-32-20-fixed-splitsNLMLP#291:1 Accuracy: 50.7 ± 2.2
node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-48-32-20-fixed-splitsNLMLP#121:1 Accuracy: 84.9 ± 5.7
node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-48-32-20-fixed-splitsNLGCN#271:1 Accuracy: 57.6 ± 5.5
node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-48-32-20-fixed-splitsNLGAT#281:1 Accuracy: 54.7 ± 7.6
node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-48-32-20-fixed-splitsNLMLP#121:1 Accuracy: 87.3 ± 4.3
node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-48-32-20-fixed-splitsNLGCN#261:1 Accuracy: 60.2 ± 5.3
node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-48-32-20-fixed-splitsNLGAT#271:1 Accuracy: 56.9 ± 7.3
node-classification-on-squirrelNLGCN#17Accuracy: 59.0 ± 1.2
node-classification-on-squirrelNLGAT#21Accuracy: 56.8 ± 2.5
node-classification-on-squirrelNLMLP#40Accuracy: 33.7 ± 1.5
node-classification-on-pubmed-48-32-20-fixed-splitsNLGCN#181:1 Accuracy: 89.0 ± 0.5
node-classification-on-pubmed-48-32-20-fixed-splitsNLMLP#211:1 Accuracy: 88.2 ± 0.5
node-classification-on-pubmed-48-32-20-fixed-splitsNLGAT#221:1 Accuracy: 88.2 ± 0.3
node-classification-on-chameleonNLGCN#19Accuracy: 70.1 ± 2.9
node-classification-on-chameleonNLGAT#31Accuracy: 65.7 ± 1.4
node-classification-on-chameleonNLMLP#45Accuracy: 50.7 ± 2.2
node-classification-on-texasNLMLP#20Accuracy: 85.4 ± 3.8
node-classification-on-texasNLGCN#44Accuracy: 65.5 ± 6.6
node-classification-on-texasNLGAT#46Accuracy: 62.6 ± 7.1
node-classification-on-cornellNLMLP#21Accuracy: 84.9 ± 5.7
node-classification-on-cornellNLGCN#43Accuracy: 57.6 ± 5.5
node-classification-on-cornellNLGAT#46Accuracy: 54.7 ± 7.6
node-classification-on-citeseer-48-32-20-fixed-splitsNLGAT#221:1 Accuracy: 76.2 ± 1.6
node-classification-on-citeseer-48-32-20-fixed-splitsNLGCN#231:1 Accuracy: 75.2 ± 1.4
node-classification-on-citeseer-48-32-20-fixed-splitsNLMLP#251:1 Accuracy: 73.4 ± 1.9
node-classification-on-wisconsinNLMLP#23Accuracy: 87.3 ± 4.3
node-classification-on-wisconsinNLGCN#46Accuracy: 60.2 ± 5.3
node-classification-on-wisconsinNLGAT#48Accuracy: 56.9 ± 7.3