MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

Benchmark Model Rank Results
node-classification-on-non-homophilic-heterophilic-graphs-on-penn94MixHop#81:1 Accuracy: 83.47 ± 0.71
node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamersMixHop#101:1 Accuracy: 65.64 ± 0.27
node-classification-on-non-homophilic-heterophilic-graphs-on-deezer-europeMixHop#111:1 Accuracy: 66.80±0.58
node-classification-on-geniusMixHop#12Accuracy: 90.58 ± 0.16
node-classification-on-non-homophilic-heterophilic-graphs-on-geniusMixHop#121:1 Accuracy: 90.58 ± 0.16
node-classification-on-penn94MixHop#13Accuracy: 83.47 ± 0.71
node-classification-on-cora-48-32-20-fixed-splitsMixHop#181:1 Accuracy: 87.61 ± 0.85
node-classification-on-citeseer-48-32-20-fixed-splitsMixHop#211:1 Accuracy: 76.26 ± 1.33
node-classification-on-non-homophilic-heterophilic-graphs-on-texas-48-32-20-fixed-splitsMixHop#211:1 Accuracy: 77.84 ± 7.73
node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-60-20-20-random-splitsMixHop#221:1 Accuracy: 77.25 ± 7.80
node-classification-on-non-homophilic-heterophilic-graphs-on-squirrel-48-32-20-fixed-splitsMixHop#231:1 Accuracy: 43.80 ± 1.48
node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-48-32-20-fixed-splitsMixHop#231:1 Accuracy: 75.88 ± 4.90
node-classification-on-non-homophilic-heterophilic-graphs-on-film-48-32-20-fixed-splitsMixHop#241:1 Accuracy: 32.22 ± 2.34
node-classification-on-pubmedMixHop#24Accuracy: 80.8%Training Split: 20 per nodeValidation: YES
node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-48-32-20-fixed-splitsMixHop#251:1 Accuracy: 60.50 ± 2.53
node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-48-32-20-fixed-splitsMixHop#251:1 Accuracy: 73.51 ± 6.34
node-classification-on-wisconsin-60-20-20-random-splitsMixHop#251:1 Accuracy: 77.25 ± 7.80
node-classification-on-pubmed-48-32-20-fixed-splitsMixHop#261:1 Accuracy: 85.31 ± 0.61
node-classification-on-pubmed-60-20-20-random-splitsMixHop#291:1 Accuracy: 87.04 ± 4.10
node-classification-on-non-homophilic-heterophilic-graphs-on-texas-60-20-20-random-splitsMixHop#301:1 Accuracy: 76.39 ± 7.66
node-classification-on-film-60-20-20-random-splitsMixHop#311:1 Accuracy: 33.13 ± 2.40
node-classification-on-citeseer-60-20-20-random-splitsMixHop#321:1 Accuracy: 49.52 ± 13.35
node-classification-on-cora-60-20-20-random-splitsMixHop#321:1 Accuracy: 65.65 ± 11.31
node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-60-20-20-random-splitsMixHop#321:1 Accuracy: 36.28 ± 10.22
node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-60-20-20-random-splitsMixHop#331:1 Accuracy: 60.33 ± 28.53
node-classification-on-texas-60-20-20-random-splitsMixHop#331:1 Accuracy: 76.39 ± 7.66
node-classification-on-squirrelMixHop#34Accuracy: 43.80 ± 1.48
node-classification-on-chameleon-60-20-20-random-splitsMixHop#361:1 Accuracy: 36.28 ± 10.22
node-classification-on-cornell-60-20-20-random-splitsMixHop#361:1 Accuracy: 60.33 ± 28.53
node-classification-on-squirrel-60-20-20-random-splitsMixHop#361:1 Accuracy: 24.55 ± 2.60
node-classification-on-cornellMixHop#37Accuracy: 73.51 ± 6.34
node-classification-on-texasMixHop#38Accuracy: 77.84 ± 7.73
node-classification-on-chameleonMixHop#39Accuracy: 60.50 ± 2.53
node-classification-on-actorMixHop#41Accuracy: 32.22 ± 2.34
node-classification-on-wisconsinMixHop#42Accuracy: 75.88 ± 4.90
node-classification-on-citeseerMixHop#44Accuracy: 71.4%Training Split: 20 per nodeValidation: YES
node-classification-on-coraMixHop#47Accuracy: 81.9%Training Split: 20 per nodeValidation: YES