| node-classification-on-actor | H2GCN-2 | #39 | Accuracy: 34.49 ± 1.63 |
| node-classification-on-actor | H2GCN-1 | #40 | Accuracy: 34.31 ± 1.31 |
| node-classification-on-chameleon | H2GCN-2 | #43 | Accuracy: 58.38 ± 1.76 |
| node-classification-on-chameleon | H2GCN-1 | #44 | Accuracy: 52.96 ± 2.09 |
| node-classification-on-chameleon-60-20-20 | H2GCN | #32 | 1:1 Accuracy: 52.30 ± 0.48 |
| node-classification-on-citeseer-48-32-20 | H2GCN | #13 | 1:1 Accuracy: 77.11 ± 1.57 |
| node-classification-on-cora-48-32-20-fixed | H2GCN | #15 | 1:1 Accuracy: 87.87 ± 1.20 |
| node-classification-on-cora-60-20-20-random | H2GCN | #21 | 1:1 Accuracy: 87.52 ± 0.61 |
| node-classification-on-cornell | H2GCN-2 | #30 | Accuracy: 79.46 ± 4.80 |
| node-classification-on-cornell | H2GCN-1 | #32 | Accuracy: 78.11 ± 6.68 |
| node-classification-on-cornell-60-20-20 | H2GCN | #22 | 1:1 Accuracy: 86.23 ± 4.71 |
| node-classification-on-non-homophilic | H2GCN | #22 | 1:1 Accuracy: 86.23 ± 4.71 |
| node-classification-on-non-homophilic-1 | H2GCN | #20 | 1:1 Accuracy: 87.5 ± 1.77 |
| node-classification-on-non-homophilic-10 | H2GCN | #19 | 1:1 Accuracy: 35.70 ± 1.00 |
| node-classification-on-non-homophilic-11 | H2GCN | #25 | 1:1 Accuracy: 60.11 ± 2.15 |
| node-classification-on-non-homophilic-12 | H2GCN | #27 | 1:1 Accuracy: 36.48 ± 1.86 |
| node-classification-on-non-homophilic-13 | H2GCN | #16 | 1:1 Accuracy: 81.31 ± 0.60 |
| node-classification-on-non-homophilic-2 | H2GCN | #20 | 1:1 Accuracy: 85.90 ± 3.53 |
| node-classification-on-non-homophilic-4 | H2GCN | #28 | 1:1 Accuracy: 52.30 ± 0.48 |
| node-classification-on-non-homophilic-6 | H2GCN | #5 | 1:1 Accuracy: 67.22±0.90 |
| node-classification-on-non-homophilic-7 | H2GCN | #15 | 1:1 Accuracy: 82.70 ± 5.28 |
| node-classification-on-non-homophilic-8 | H2GCN | #10 | 1:1 Accuracy: 87.65 ± 4.98 |
| node-classification-on-penn94 | H2GCN | #21 | Accuracy: 81.31 ± 0.60 |
| node-classification-on-pubmed-48-32-20-fixed | H2GCN | #9 | 1:1 Accuracy: 89.49 ± 0.38 |
| node-classification-on-pubmed-60-20-20-random | H2GCN | #27 | 1:1 Accuracy: 87.78 ± 0.28 |
| node-classification-on-squirrel | H2GCN-2 | #42 | Accuracy: 32.33 ± 1.94 |
| node-classification-on-squirrel | H2GCN-1 | #44 | Accuracy: 28.98 ± 1.97 |
| node-classification-on-squirrel-60-20-20 | H2GCN | #35 | 1:1 Accuracy: 30.39 ± 1.22 |
| node-classification-on-texas | H2GCN-1 | #29 | Accuracy: 83.24 ± 7.07 |
| node-classification-on-texas | H2GCN-2 | #37 | Accuracy: 80.00 ± 6.77 |
| node-classification-on-texas-60-20-20-random | H2GCN | #22 | 1:1 Accuracy: 85.90 ± 3.53 |
| node-classification-on-wisconsin | H2GCN-1 | #34 | Accuracy: 84.31 ± 3.70 |
| node-classification-on-wisconsin | H2GCN-2 | #35 | Accuracy: 83.14 ± 4.26 |
| node-classification-on-wisconsin-60-20-20 | H2GCN | #20 | 1:1 Accuracy: 87.5 ± 1.77 |