| node-classification-on-actor | MixHop | #41 | Accuracy: 32.22 ± 2.34 |
| node-classification-on-chameleon | MixHop | #39 | Accuracy: 60.50 ± 2.53 |
| node-classification-on-chameleon-60-20-20 | MixHop | #36 | 1:1 Accuracy: 36.28 ± 10.22 |
| node-classification-on-citeseer | MixHop | #44 | Accuracy: 71.4%Training Split: 20 per nodeValidation: YES |
| node-classification-on-citeseer-48-32-20 | MixHop | #20 | 1:1 Accuracy: 76.26 ± 1.33 |
| node-classification-on-citeseer-60-20-20 | MixHop | #32 | 1:1 Accuracy: 49.52 ± 13.35 |
| node-classification-on-cora | MixHop | #47 | Accuracy: 81.9%Training Split: 20 per nodeValidation: YES |
| node-classification-on-cora-48-32-20-fixed | MixHop | #17 | 1:1 Accuracy: 87.61 ± 0.85 |
| node-classification-on-cora-60-20-20-random | MixHop | #32 | 1:1 Accuracy: 65.65 ± 11.31 |
| node-classification-on-cornell | MixHop | #37 | Accuracy: 73.51 ± 6.34 |
| node-classification-on-cornell-60-20-20 | MixHop | #36 | 1:1 Accuracy: 60.33 ± 28.53 |
| node-classification-on-film-60-20-20-random | MixHop | #31 | 1:1 Accuracy: 33.13 ± 2.40 |
| node-classification-on-genius | MixHop | #10 | Accuracy: 90.58 ± 0.16 |
| node-classification-on-non-homophilic | MixHop | #33 | 1:1 Accuracy: 60.33 ± 28.53 |
| node-classification-on-non-homophilic-1 | MixHop | #22 | 1:1 Accuracy: 77.25 ± 7.80 |
| node-classification-on-non-homophilic-10 | MixHop | #23 | 1:1 Accuracy: 32.22 ± 2.34 |
| node-classification-on-non-homophilic-11 | MixHop | #24 | 1:1 Accuracy: 60.50 ± 2.53 |
| node-classification-on-non-homophilic-12 | MixHop | #23 | 1:1 Accuracy: 43.80 ± 1.48 |
| node-classification-on-non-homophilic-13 | MixHop | #8 | 1:1 Accuracy: 83.47 ± 0.71 |
| node-classification-on-non-homophilic-14 | MixHop | #12 | 1:1 Accuracy: 90.58 ± 0.16 |
| node-classification-on-non-homophilic-15 | MixHop | #10 | 1:1 Accuracy: 65.64 ± 0.27 |
| node-classification-on-non-homophilic-2 | MixHop | #30 | 1:1 Accuracy: 76.39 ± 7.66 |
| node-classification-on-non-homophilic-4 | MixHop | #32 | 1:1 Accuracy: 36.28 ± 10.22 |
| node-classification-on-non-homophilic-6 | MixHop | #11 | 1:1 Accuracy: 66.80±0.58 |
| node-classification-on-non-homophilic-7 | MixHop | #24 | 1:1 Accuracy: 73.51 ± 6.34 |
| node-classification-on-non-homophilic-8 | MixHop | #22 | 1:1 Accuracy: 75.88 ± 4.90 |
| node-classification-on-non-homophilic-9 | MixHop | #20 | 1:1 Accuracy: 77.84 ± 7.73 |
| node-classification-on-penn94 | MixHop | #13 | Accuracy: 83.47 ± 0.71 |
| node-classification-on-pubmed | MixHop | #24 | Accuracy: 80.8%Training Split: 20 per nodeValidation: YES |
| node-classification-on-pubmed-48-32-20-fixed | MixHop | #25 | 1:1 Accuracy: 85.31 ± 0.61 |
| node-classification-on-pubmed-60-20-20-random | MixHop | #29 | 1:1 Accuracy: 87.04 ± 4.10 |
| node-classification-on-squirrel | MixHop | #34 | Accuracy: 43.80 ± 1.48 |
| node-classification-on-squirrel-60-20-20 | MixHop | #36 | 1:1 Accuracy: 24.55 ± 2.60 |
| node-classification-on-texas | MixHop | #38 | Accuracy: 77.84 ± 7.73 |
| node-classification-on-texas-60-20-20-random | MixHop | #33 | 1:1 Accuracy: 76.39 ± 7.66 |
| node-classification-on-wisconsin | MixHop | #42 | Accuracy: 75.88 ± 4.90 |
| node-classification-on-wisconsin-60-20-20 | MixHop | #25 | 1:1 Accuracy: 77.25 ± 7.80 |