Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Benchmark Model Rank Results
node-classification-on-arxiv-yearLINKX#6Accuracy: 56.00±1.34
node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamersLINKX#61:1 Accuracy: 66.06 ± 0.19
node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamersLINK#131:1 Accuracy: 64.85 ± 0.21
node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamersL Prop 2-hop#151:1 Accuracy: 63.88 ± 0.24
node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamersGCNJK#171:1 Accuracy: 63.45 ± 0.22
node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamersL Prop 1-hop#191:1 Accuracy: 62.77 ± 0.24
node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamersMLP#231:1 Accuracy: 60.92 ± 0.07
node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamersGATJK#241:1 Accuracy: 59.98 ± 2.87
node-classification-on-pokecLINKX#6Accuracy: 82.04±0.07
node-classification-on-non-homophilic-heterophilic-graphs-on-penn94LINKX#71:1 Accuracy: 84.71 ± 0.52
node-classification-on-non-homophilic-heterophilic-graphs-on-penn94GCNJK#161:1 Accuracy: 81.63 ± 0.54
node-classification-on-non-homophilic-heterophilic-graphs-on-penn94LINK#201:1 Accuracy: 80.79 ± 0.49
node-classification-on-non-homophilic-heterophilic-graphs-on-penn94GATJK#211:1 Accuracy: 80.69 ± 0.36
node-classification-on-non-homophilic-heterophilic-graphs-on-penn94L Prop 2-hop#301:1 Accuracy: 74.13 ± 0.46
node-classification-on-non-homophilic-heterophilic-graphs-on-penn94L Prop 1-hop#331:1 Accuracy: 63.21 ± 0.39
node-classification-on-non-homophilic-heterophilic-graphs-on-squirrel-48-32-20-fixed-splitsLINKX#91:1 Accuracy: 61.81 ± 1.80
node-classification-on-geniusLINKX#10Accuracy: 90.77 ± 0.27
node-classification-on-non-homophilic-heterophilic-graphs-on-geniusLINKX#101:1 Accuracy: 90.77 ± 0.27
node-classification-on-non-homophilic-heterophilic-graphs-on-geniusGCNJK#151:1 Accuracy: 89.30 ± 0.19
node-classification-on-non-homophilic-heterophilic-graphs-on-geniusMLP#171:1 Accuracy: 86.68 ± 0.09
node-classification-on-non-homophilic-heterophilic-graphs-on-geniusLINK#231:1 Accuracy: 73.56 ± 0.14
node-classification-on-non-homophilic-heterophilic-graphs-on-geniusL Prop 2-hop#241:1 Accuracy: 67.04 ± 0.20
node-classification-on-non-homophilic-heterophilic-graphs-on-geniusL Prop 1-hop#251:1 Accuracy: 66.02 ± 0.16
node-classification-on-non-homophilic-heterophilic-graphs-on-geniusGATJK#261:1 Accuracy: 56.70 ± 2.07
node-classification-on-penn94LINKX#11Accuracy: 84.71 ± 0.52
node-classification-on-squirrelLINKX#15Accuracy: 61.81 ± 1.80
node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-48-32-20-fixed-splitsLINKX#161:1 Accuracy: 68.42 ± 1.38
node-classification-on-non-homophilic-heterophilic-graphs-on-film-48-32-20-fixed-splitsLINKX#181:1 Accuracy: 36.10 ± 1.55
node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-48-32-20-fixed-splitsLINKX#231:1 Accuracy: 77.84 ± 5.81
node-classification-on-non-homophilic-heterophilic-graphs-on-texas-48-32-20-fixed-splitsLINKX#241:1 Accuracy: 74.60 ± 8.37
node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-48-32-20-fixed-splitsLINKX#241:1 Accuracy: 75.49 ± 5.72
node-classification-on-pubmed-48-32-20-fixed-splitsLINKX#241:1 Accuracy: 87.86 ± 0.77
node-classification-on-cora-48-32-20-fixed-splitsLINKX#251:1 Accuracy: 84.64 ± 1.13
node-classification-on-citeseer-48-32-20-fixed-splitsLINKX#261:1 Accuracy: 73.19 ± 0.99
node-classification-on-chameleonLINKX#28Accuracy: 68.42 ± 1.38
node-classification-on-actorLINKX#30Accuracy: 36.10 ± 1.55
node-classification-on-cornellLINKX#34Accuracy: 77.84 ± 5.81
node-classification-on-texasLINKX#41Accuracy: 74.60 ± 8.37
node-classification-on-wisconsinLINKX#43Accuracy: 75.49 ± 5.72