| node-classification-on-non-homophilic-heterophilic-graphs-on-deezer-europe | GPRGNN | #9 | 1:1 Accuracy: 66.90±0.50 |
| node-classification-on-citeseer-48-32-20-fixed-splits | GPRGCN | #11 | 1:1 Accuracy: 77.13 ± 1.67 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-60-20-20-random-splits | GPRGNN | #12 | 1:1 Accuracy: 67.48 ± 0.40 |
| node-classification-on-chameleon-60-20-20-random-splits | GPRGNN | #13 | 1:1 Accuracy: 67.48 ± 0.40 |
| node-classification-on-cora-48-32-20-fixed-splits | GPRGCN | #13 | 1:1 Accuracy: 87.95 ± 1.18 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-genius | GPRGCN | #14 | 1:1 Accuracy: 90.05 ± 0.31 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-texas-60-20-20-random-splits | GPRGNN | #14 | 1:1 Accuracy: 92.92 ± 0.61 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-texas-60-20-20-random-splits | MLP-2 | #16 | 1:1 Accuracy: 92.26 ± 0.71 |
| node-classification-on-squirrel-60-20-20-random-splits | GPRGNN | #14 | 1:1 Accuracy: 49.93 ± 0.53 |
| node-classification-on-genius | GPRGCN | #15 | Accuracy: 90.05 ± 0.31 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-60-20-20-random-splits | GPRGNN | #15 | 1:1 Accuracy: 93.75 ± 2.37 |
| node-classification-on-texas-60-20-20-random-splits | GPRGNN | #15 | 1:1 Accuracy: 92.92 ± 0.61 |
| node-classification-on-wisconsin-60-20-20-random-splits | GPRGNN | #15 | 1:1 Accuracy: 93.75 ± 2.37 |
| node-classification-on-cornell-60-20-20-random-splits | GPRGNN | #17 | 1:1 Accuracy: 91.36 ± 0.70 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-60-20-20-random-splits | GPRGNN | #17 | 1:1 Accuracy: 91.36 ± 0.70 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-60-20-20-random-splits | MLP-2 | #18 | 1:1 Accuracy: 91.30 ± 0.70 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-penn94 | GPRGCN | #18 | 1:1 Accuracy: 81.38 ± 0.16 |
| node-classification-on-film-60-20-20-random-splits | GPRGNN | #20 | 1:1 Accuracy: 39.30 ± 0.27 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-texas-48-32-20-fixed-splits | GPRGCN | #20 | 1:1 Accuracy: 81.35 ± 5.32 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-48-32-20-fixed-splits | GPRGCN | #20 | 1:1 Accuracy: 82.55 ± 6.23 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-48-32-20-fixed-splits | GPRGCN | #21 | 1:1 Accuracy: 78.11 ± 6.55 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-squirrel-48-32-20-fixed-splits | GPRGCN | #21 | 1:1 Accuracy: 46.31 ± 2.46 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamers | GPRGCN | #21 | 1:1 Accuracy: 61.89 ± 0.29 |
| node-classification-on-penn94 | GPRGCN | #23 | Accuracy: 81.38 ± 0.16 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-48-32-20-fixed-splits | GPRGCN | #24 | 1:1 Accuracy: 62.59 ± 2.04 |
| node-classification-on-pubmed-48-32-20-fixed-splits | GPRGCN | #25 | 1:1 Accuracy: 87.54 ± 0.38 |
| node-classification-on-cora-60-20-20-random-splits | GPRGNN | #28 | 1:1 Accuracy: 79.51 ± 0.36 |
| node-classification-on-citeseer-60-20-20-random-splits | GPRGNN | #30 | 1:1 Accuracy: 67.63 ± 0.38 |
| node-classification-on-cornell | GPRGCN | #31 | Accuracy: 78.11 ± 6.55 |
| node-classification-on-squirrel | GPRGCN | #31 | Accuracy: 46.31 ± 2.46 |
| node-classification-on-pubmed-60-20-20-random-splits | GPRGNN | #34 | 1:1 Accuracy: 85.07 ± 0.09 |
| node-classification-on-texas | GPRGCN | #35 | Accuracy: 81.35 ± 5.32 |
| node-classification-on-actor | GPRGCN | #36 | Accuracy: 35.16 ± 0.9 |
| node-classification-on-wisconsin | GPRGCN | #36 | Accuracy: 82.55 ± 6.23 |
| node-classification-on-chameleon | GPRGCN | #37 | Accuracy: 62.59 ± 2.04 |