| node-classification-on-actor | ACM-GCN++ | #19 | Accuracy: 37.31 ± 1.09 |
| node-classification-on-actor | ACMII-GCN++ | #21 | Accuracy: 37.09 ± 1.32 |
| node-classification-on-actor | ACM-GCN | #25 | Accuracy: 36.63 ± 0.84 |
| node-classification-on-actor | ACMII-GCN | #27 | Accuracy: 36.31 ± 1.2 |
| node-classification-on-actor | ACM-GCN+ | #28 | Accuracy: 36.26 ± 1.34 |
| node-classification-on-actor | ACMII-GCN+ | #29 | Accuracy: 36.14 ± 1.44 |
| node-classification-on-actor | ACM-SGC-2 | #31 | Accuracy: 36.04 ± 0.83 |
| node-classification-on-actor | ACM-SGC-1 | #35 | Accuracy: 35.49 ± 1.06 |
| node-classification-on-chameleon | ACMII-GCN++ | #8 | Accuracy: 74.76 ± 2.2 |
| node-classification-on-chameleon | ACMII-GCN+ | #9 | Accuracy: 74.56 ± 2.08 |
| node-classification-on-chameleon | ACM-GCN+ | #10 | Accuracy: 74.47 ± 1.84 |
| node-classification-on-chameleon | ACM-GCN++ | #11 | Accuracy: 74.41 ± 1.49 |
| node-classification-on-chameleon | ACM-GCN | #23 | Accuracy: 69.14 ± 1.91 |
| node-classification-on-chameleon | ACMII-GCN | #27 | Accuracy: 68.46 ± 1.7 |
| node-classification-on-chameleon | ACM-SGC-1 | #35 | Accuracy: 63.99 ± 1.66 |
| node-classification-on-chameleon | ACM-SGC-2 | #42 | Accuracy: 59.21 ± 2.22 |
| node-classification-on-chameleon-60-20-20 | ACM-GCN+ | #1 | 1:1 Accuracy: 76.08 ± 2.13 |
| node-classification-on-chameleon-60-20-20 | ACMII-GCN++ | #2 | 1:1 Accuracy: 75.93 ± 1.71 |
| node-classification-on-chameleon-60-20-20 | ACMII-GCN+ | #3 | 1:1 Accuracy: 75.51 ± 1.58 |
| node-classification-on-chameleon-60-20-20 | ACM-GCN++ | #4 | 1:1 Accuracy: 75.23 ± 1.72 |
| node-classification-on-chameleon-60-20-20 | ACM-Snowball-2 | #6 | 1:1 Accuracy: 68.51 ± 1.7 |
| node-classification-on-chameleon-60-20-20 | ACM-Snowball-3 | #7 | 1:1 Accuracy: 68.4 ± 2.05 |
| node-classification-on-chameleon-60-20-20 | ACMII-GCN | #8 | 1:1 Accuracy: 68.38 ± 1.36 |
| node-classification-on-chameleon-60-20-20 | GAT+JK | #10 | 1:1 Accuracy: 68.14 ± 1.18 |
| node-classification-on-chameleon-60-20-20 | ACMII-Snowball-2 | #11 | 1:1 Accuracy: 67.83 ± 2.63 |
| node-classification-on-chameleon-60-20-20 | ACMII-Snowball-3 | #12 | 1:1 Accuracy: 67.53 ± 2.83 |
| node-classification-on-chameleon-60-20-20 | GCN+JK | #17 | 1:1 Accuracy: 64.68 ± 2.85 |
| node-classification-on-chameleon-60-20-20 | ACM-SGC-1 | #20 | 1:1 Accuracy: 63.68 ± 1.62 |
| node-classification-on-chameleon-60-20-20 | ACM-GCNII* | #25 | 1:1 Accuracy: 61.66 ± 2.29 |
| node-classification-on-chameleon-60-20-20 | ACM-SGC-2 | #28 | 1:1 Accuracy: 60.48 ± 1.55 |
| node-classification-on-chameleon-60-20-20 | ACM-GCNII | #31 | 1:1 Accuracy: 58.73 ± 2.52 |
| node-classification-on-chameleon-60-20-20 | MLP-2 | #35 | 1:1 Accuracy: 46.72 ± 0.46 |
| node-classification-on-citeseer-48-32-20 | ACM-GCN+ | #2 | 1:1 Accuracy: 77.67 ± 1.19 |
| node-classification-on-citeseer-48-32-20 | ACM-GCN++ | #3 | 1:1 Accuracy: 77.46 ± 1.65 |
| node-classification-on-citeseer-48-32-20 | ACMII-GCN+ | #7 | 1:1 Accuracy: 77.2 ± 1.61 |
| node-classification-on-citeseer-48-32-20 | ACMII-GCN | #8 | 1:1 Accuracy: 77.15 ± 1.45 |
| node-classification-on-citeseer-48-32-20 | ACMII-GCN++ | #12 | 1:1 Accuracy: 77.12 ± 1.58 |
| node-classification-on-citeseer-48-32-20 | ACM-SGC-1 | #16 | 1:1 Accuracy: 76.73 ± 1.59 |
| node-classification-on-citeseer-48-32-20 | ACM-SGC-2 | #18 | 1:1 Accuracy: 76.59 ± 1.69 |
| node-classification-on-citeseer-60-20-20 | ACM-GCNII | #2 | 1:1 Accuracy: 82.28 ± 1.12 |
| node-classification-on-citeseer-60-20-20 | ACMII-Snowball-2 | #3 | 1:1 Accuracy: 82.07 ± 1.04 |
| node-classification-on-citeseer-60-20-20 | ACMII-GCN+ | #4 | 1:1 Accuracy: 81.87 ± 1.38 |
| node-classification-on-citeseer-60-20-20 | ACM-GCN++ | #6 | 1:1 Accuracy: 81.83 ± 1.65 |
| node-classification-on-citeseer-60-20-20 | ACMII-GCN | #7 | 1:1 Accuracy: 81.79 ± 0.95 |
| node-classification-on-citeseer-60-20-20 | ACMII-GCN++ | #8 | 1:1 Accuracy: 81.76 ± 1.25 |
| node-classification-on-citeseer-60-20-20 | ACM-GCNII* | #9 | 1:1 Accuracy: 81.69 ± 1.25 |
| node-classification-on-citeseer-60-20-20 | ACM-GCN+ | #10 | 1:1 Accuracy: 81.65 ± 1.48 |
| node-classification-on-citeseer-60-20-20 | ACM-Snowball-2 | #12 | 1:1 Accuracy: 81.58 ± 1.23 |
| node-classification-on-citeseer-60-20-20 | ACMII-Snowball-3 | #13 | 1:1 Accuracy: 81.56 ± 1.15 |
| node-classification-on-citeseer-60-20-20 | ACM-Snowball-3 | #16 | 1:1 Accuracy: 81.32 ± 0.97 |
| node-classification-on-citeseer-60-20-20 | ACM-SGC-1 | #17 | 1:1 Accuracy: 80.96 ± 0.93 |
| node-classification-on-citeseer-60-20-20 | ACM-SGC-2 | #19 | 1:1 Accuracy: 80.93 ± 1.16 |
| node-classification-on-citeseer-60-20-20 | MLP-2 | #26 | 1:1 Accuracy: 76.25 ± 0.28 |
| node-classification-on-citeseer-60-20-20 | GAT+JK | #27 | 1:1 Accuracy: 74.49 ± 2.76 |
| node-classification-on-citeseer-60-20-20 | GCN+JK | #28 | 1:1 Accuracy: 73.77 ± 1.85 |
| node-classification-on-cora-48-32-20-fixed | ACMII-GCN++ | #5 | 1:1 Accuracy: 88.25 ± 0.96 |
| node-classification-on-cora-48-32-20-fixed | ACMII-GCN+ | #7 | 1:1 Accuracy: 88.19 ± 1.17 |
| node-classification-on-cora-48-32-20-fixed | ACM-GCN++ | #8 | 1:1 Accuracy: 88.11 ± 0.96 |
| node-classification-on-cora-48-32-20-fixed | ACM-GCN+ | #11 | 1:1 Accuracy: 88.05 ± 0.99 |
| node-classification-on-cora-48-32-20-fixed | ACMII-GCN | #12 | 1:1 Accuracy: 88.01 ± 1.08 |
| node-classification-on-cora-48-32-20-fixed | ACM-SGC-2 | #16 | 1:1 Accuracy: 87.69 ± 1.07 |
| node-classification-on-cora-48-32-20-fixed | ACM-SGC-1 | #21 | 1:1 Accuracy: 86.9 ± 1.38 |
| node-classification-on-cora-60-20-20-random | ACM-GCN+ | #1 | 1:1 Accuracy: 89.75 ± 1.16 |
| node-classification-on-cora-60-20-20-random | ACM-Snowball-3 | #2 | 1:1 Accuracy: 89.59 ± 1.58 |
| node-classification-on-cora-60-20-20-random | GAT+JK | #3 | 1:1 Accuracy: 89.52 ± 0.43 |
| node-classification-on-cora-60-20-20-random | ACMII-GCN++ | #4 | 1:1 Accuracy: 89.47 ± 1.08 |
| node-classification-on-cora-60-20-20-random | ACMII-Snowball-3 | #5 | 1:1 Accuracy: 89.36 ± 1.26 |
| node-classification-on-cora-60-20-20-random | ACM-GCN++ | #7 | 1:1 Accuracy: 89.33 ± 0.81 |
| node-classification-on-cora-60-20-20-random | ACMII-GCN+ | #8 | 1:1 Accuracy: 89.18 ± 1.11 |
| node-classification-on-cora-60-20-20-random | ACM-GCNII | #9 | 1:1 Accuracy: 89.1 ± 1.61 |
| node-classification-on-cora-60-20-20-random | ACM-GCNII* | #10 | 1:1 Accuracy: 89.00 ± 1.35 |
| node-classification-on-cora-60-20-20-random | ACMII-GCN | #11 | 1:1 Accuracy: 89.00 ± 0.72 |
| node-classification-on-cora-60-20-20-random | ACMII-Snowball-2 | #13 | 1:1 Accuracy: 88.95 ± 1.04 |
| node-classification-on-cora-60-20-20-random | ACM-Snowball-2 | #16 | 1:1 Accuracy: 88.83 ± 1.49 |
| node-classification-on-cora-60-20-20-random | ACM-SGC-2 | #20 | 1:1 Accuracy: 87.64 ± 0.99 |
| node-classification-on-cora-60-20-20-random | ACM-SGC-1 | #23 | 1:1 Accuracy: 86.63 ± 1.13 |
| node-classification-on-cora-60-20-20-random | MLP-2 | #31 | 1:1 Accuracy: 76.44 ± 0.30 |
| node-classification-on-cornell | ACMII-GCN++ | #7 | Accuracy: 86.49 ± 6.73 |
| node-classification-on-cornell | ACMII-GCN | #12 | Accuracy: 85.95 ± 5.64 |
| node-classification-on-cornell | ACM-GCN+ | #15 | Accuracy: 85.68 ± 4.84 |
| node-classification-on-cornell | ACM-GCN++ | #16 | Accuracy: 85.68 ± 5.8 |
| node-classification-on-cornell | ACMII-GCN+ | #18 | Accuracy: 85.41 ± 5.3 |
| node-classification-on-cornell | ACM-GCN | #19 | Accuracy: 85.14 ± 6.07 |
| node-classification-on-cornell | ACM-SGC-1 | #26 | Accuracy: 82.43 ± 5.44 |
| node-classification-on-cornell | ACM-SGC-2 | #27 | Accuracy: 82.43 ± 5.44 |
| node-classification-on-cornell-60-20-20 | ACMII-GCN | #1 | 1:1 Accuracy: 95.9 ± 1.83 |
| node-classification-on-cornell-60-20-20 | ACMII-Snowball-2 | #2 | 1:1 Accuracy: 95.25 ± 1.55 |
| node-classification-on-cornell-60-20-20 | ACM-Snowball-2 | #3 | 1:1 Accuracy: 95.08 ± 3.11 |
| node-classification-on-cornell-60-20-20 | ACM-GCN+ | #4 | 1:1 Accuracy: 94.92 ± 2.79 |
| node-classification-on-cornell-60-20-20 | ACM-GCN | #5 | 1:1 Accuracy: 94.75 ± 3.8 |
| node-classification-on-cornell-60-20-20 | ACM-Snowball-3 | #6 | 1:1 Accuracy: 94.26 ± 2.57 |
| node-classification-on-cornell-60-20-20 | ACM-GCN++ | #7 | 1:1 Accuracy: 93.93 ± 1.05 |
| node-classification-on-cornell-60-20-20 | ACMII-GCN+ | #8 | 1:1 Accuracy: 93.93 ± 3.03 |
| node-classification-on-cornell-60-20-20 | ACM-SGC-1 | #9 | 1:1 Accuracy: 93.77 ± 1.91 |
| node-classification-on-cornell-60-20-20 | ACM-SGC-2 | #10 | 1:1 Accuracy: 93.77 ± 2.17 |
| node-classification-on-cornell-60-20-20 | ACMII-Snowball-3 | #11 | 1:1 Accuracy: 93.61 ± 2.79 |
| node-classification-on-cornell-60-20-20 | ACM-GCNII* | #12 | 1:1 Accuracy: 93.44 ± 2.74 |
| node-classification-on-cornell-60-20-20 | ACM-GCNII | #13 | 1:1 Accuracy: 92.62 ± 3.13 |
| node-classification-on-cornell-60-20-20 | ACMII-GCN++ | #14 | 1:1 Accuracy: 92.62 ± 2.57 |
| node-classification-on-cornell-60-20-20 | MLP-2 | #18 | 1:1 Accuracy: 91.30 ± 0.70 |
| node-classification-on-cornell-60-20-20 | GAT+JK | #28 | 1:1 Accuracy: 74.43 ± 10.24 |
| node-classification-on-cornell-60-20-20 | GCN+JK | #33 | 1:1 Accuracy: 66.56 ± 13.82 |
| node-classification-on-film-60-20-20-random | ACM-GCN++ | #4 | 1:1 Accuracy: 41.86 ± 1.48 |
| node-classification-on-film-60-20-20-random | ACMII-GCN | #5 | 1:1 Accuracy: 41.84 ± 1.15 |
| node-classification-on-film-60-20-20-random | ACM-GCN+ | #7 | 1:1 Accuracy: 41.79 ± 1.01 |
| node-classification-on-film-60-20-20-random | ACMII-GCN++ | #8 | 1:1 Accuracy: 41.66 ± 1.42 |
| node-classification-on-film-60-20-20-random | ACMII-GCN+ | #10 | 1:1 Accuracy: 41.5 ± 1.54 |
| node-classification-on-film-60-20-20-random | ACM-Snowball-2 | #11 | 1:1 Accuracy: 41.4 ± 1.23 |
| node-classification-on-film-60-20-20-random | ACM-GCNII | #12 | 1:1 Accuracy: 41.37 ± 1.37 |
| node-classification-on-film-60-20-20-random | ACM-GCNII* | #13 | 1:1 Accuracy: 41.27 ± 1.24 |
| node-classification-on-film-60-20-20-random | ACM-Snowball-3 | #14 | 1:1 Accuracy: 41.27 ± 0.8 |
| node-classification-on-film-60-20-20-random | ACMII-Snowball-2 | #15 | 1:1 Accuracy: 41.1 ± 0.75 |
| node-classification-on-film-60-20-20-random | ACMII-Snowball-3 | #17 | 1:1 Accuracy: 40.31 ± 1.6 |
| node-classification-on-film-60-20-20-random | ACM-SGC-2 | #18 | 1:1 Accuracy: 40.13 ± 1.21 |
| node-classification-on-film-60-20-20-random | ACM-SGC-1 | #19 | 1:1 Accuracy: 39.33 ± 1.25 |
| node-classification-on-film-60-20-20-random | MLP-2 | #23 | 1:1 Accuracy: 38.58 ± 0.25 |
| node-classification-on-film-60-20-20-random | GAT+JK | #30 | 1:1 Accuracy: 35.41 ± 0.97 |
| node-classification-on-film-60-20-20-random | GCN+JK | #32 | 1:1 Accuracy: 32.72 ± 2.62 |
| node-classification-on-genius | ACM-GCN++ | #2 | Accuracy: 91.37 ± 0.07 |
| node-classification-on-genius | ACM-GCN+ | #3 | Accuracy: 91.22 ± 0.13 |
| node-classification-on-genius | ACMII-GCN+ | #4 | Accuracy: 91.13 ± 0.09 |
| node-classification-on-genius | ACMII-GCN++ | #5 | Accuracy: 91.01 ± 0.18 |
| node-classification-on-non-homophilic | ACMII-GCN | #1 | 1:1 Accuracy: 95.9 ± 1.83 |
| node-classification-on-non-homophilic | ACMII-Snowball-2 | #2 | 1:1 Accuracy: 95.25 ± 1.55 |
| node-classification-on-non-homophilic | ACM-Snowball-2 | #3 | 1:1 Accuracy: 95.08 ± 3.11 |
| node-classification-on-non-homophilic | ACM-GCN+ | #4 | 1:1 Accuracy: 94.92 ± 2.79 |
| node-classification-on-non-homophilic | ACM-GCN | #5 | 1:1 Accuracy: 94.75 ± 3.8 |
| node-classification-on-non-homophilic | ACM-Snowball-3 | #6 | 1:1 Accuracy: 94.26 ± 2.57 |
| node-classification-on-non-homophilic | ACM-GCN++ | #7 | 1:1 Accuracy: 93.93 ± 1.05 |
| node-classification-on-non-homophilic | ACMII-GCN+ | #8 | 1:1 Accuracy: 93.93 ± 3.03 |
| node-classification-on-non-homophilic | ACM-SGC-2 | #9 | 1:1 Accuracy: 93.77 ± 2.17 |
| node-classification-on-non-homophilic | ACM-SGC-1 | #10 | 1:1 Accuracy: 93.77 ± 1.91 |
| node-classification-on-non-homophilic | ACMII-Snowball-3 | #11 | 1:1 Accuracy: 93.61 ± 2.79 |
| node-classification-on-non-homophilic | ACM-GCNII* | #12 | 1:1 Accuracy: 93.44 ± 2.74 |
| node-classification-on-non-homophilic | ACMII-GCN++ | #13 | 1:1 Accuracy: 92.62 ± 2.57 |
| node-classification-on-non-homophilic | ACM-GCNII | #14 | 1:1 Accuracy: 92.62 ± 3.13 |
| node-classification-on-non-homophilic | GAT+JK | #27 | 1:1 Accuracy: 74.43 ± 10.24 |
| node-classification-on-non-homophilic | GCN+JK | #31 | 1:1 Accuracy: 66.56 ± 13.82 |
| node-classification-on-non-homophilic-1 | ACM-GCN++ | #1 | 1:1 Accuracy: 97.5 ± 1.25 |
| node-classification-on-non-homophilic-1 | ACMII-GCN++ | #2 | 1:1 Accuracy: 97.13 ± 1.68 |
| node-classification-on-non-homophilic-1 | ACMII-Snowball-3 | #3 | 1:1 Accuracy: 97.00 ± 2.63 |
| node-classification-on-non-homophilic-1 | ACMII-GCN+ | #4 | 1:1 Accuracy: 96.75 ± 1.79 |
| node-classification-on-non-homophilic-1 | ACMII-Snowball-2 | #5 | 1:1 Accuracy: 96.63 ± 2.24 |
| node-classification-on-non-homophilic-1 | ACM-Snowball-3 | #6 | 1:1 Accuracy: 96.62 ± 1.86 |
| node-classification-on-non-homophilic-1 | ACMII-GCN | #7 | 1:1 Accuracy: 96.62 ± 2.44 |
| node-classification-on-non-homophilic-1 | ACM-GCN+ | #8 | 1:1 Accuracy: 96.5 ± 2.08 |
| node-classification-on-non-homophilic-1 | ACM-Snowball-2 | #9 | 1:1 Accuracy: 96.38 ± 2.59 |
| node-classification-on-non-homophilic-1 | ACM-GCN | #10 | 1:1 Accuracy: 95.75 ± 2.03 |
| node-classification-on-non-homophilic-1 | ACM-GCNII | #11 | 1:1 Accuracy: 94.63 ± 2.96 |
| node-classification-on-non-homophilic-1 | ACM-GCNII* | #12 | 1:1 Accuracy: 94.37 ± 2.81 |
| node-classification-on-non-homophilic-1 | ACM-SGC-2 | #13 | 1:1 Accuracy: 94.00 ± 2.61 |
| node-classification-on-non-homophilic-1 | ACM-SGC-1 | #16 | 1:1 Accuracy: 93.25 ± 2.92 |
| node-classification-on-non-homophilic-1 | GAT+JK | #29 | 1:1 Accuracy: 69.50 ± 3.12 |
| node-classification-on-non-homophilic-1 | GCN+JK | #32 | 1:1 Accuracy: 62.50 ± 15.75 |
| node-classification-on-non-homophilic-10 | ACM-GCN++ | #9 | 1:1 Accuracy: 37.31 ± 1.09 |
| node-classification-on-non-homophilic-10 | ACMII-GCN++ | #10 | 1:1 Accuracy: 37.09 ± 1.32 |
| node-classification-on-non-homophilic-10 | ACM-GCN | #12 | 1:1 Accuracy: 36.63 ± 0.84 |
| node-classification-on-non-homophilic-10 | ACMII-GCN | #14 | 1:1 Accuracy: 36.31 ± 1.2 |
| node-classification-on-non-homophilic-10 | ACM-GCN+ | #15 | 1:1 Accuracy: 36.26 ± 1.34 |
| node-classification-on-non-homophilic-10 | ACMII-GCN+ | #16 | 1:1 Accuracy: 36.14 ± 1.44 |
| node-classification-on-non-homophilic-10 | ACM-SGC-2 | #18 | 1:1 Accuracy: 36.04 ± 0.83 |
| node-classification-on-non-homophilic-10 | ACM-SGC-1 | #20 | 1:1 Accuracy: 35.49 ± 1.06 |
| node-classification-on-non-homophilic-11 | ACMII-GCN++ | #4 | 1:1 Accuracy: 74.76 ± 2.2 |
| node-classification-on-non-homophilic-11 | ACMII-GCN+ | #5 | 1:1 Accuracy: 74.56 ± 2.08 |
| node-classification-on-non-homophilic-11 | ACM-GCN+ | #6 | 1:1 Accuracy: 74.47 ± 1.84 |
| node-classification-on-non-homophilic-11 | ACM-GCN++ | #7 | 1:1 Accuracy: 74.41 ± 1.49 |
| node-classification-on-non-homophilic-11 | ACM-GCN | #13 | 1:1 Accuracy: 69.14 ± 1.91 |
| node-classification-on-non-homophilic-11 | ACMII-GCN | #15 | 1:1 Accuracy: 68.46 ± 1.7 |
| node-classification-on-non-homophilic-11 | ACM-SGC-1 | #21 | 1:1 Accuracy: 63.99 ± 1.66 |
| node-classification-on-non-homophilic-11 | ACM-SGC-2 | #27 | 1:1 Accuracy: 59.21 ± 2.22 |
| node-classification-on-non-homophilic-12 | ACMII-GCN++ | #4 | 1:1 Accuracy: 67.4 ± 2.21 |
| node-classification-on-non-homophilic-12 | ACMII-GCN+ | #5 | 1:1 Accuracy: 67.07 ± 1.65 |
| node-classification-on-non-homophilic-12 | ACM-GCN++ | #6 | 1:1 Accuracy: 67.06 ± 1.66 |
| node-classification-on-non-homophilic-12 | ACM-GCN+ | #7 | 1:1 Accuracy: 66.98 ± 1.71 |
| node-classification-on-non-homophilic-12 | ACM-GCN | #15 | 1:1 Accuracy: 55.19 ± 1.49 |
| node-classification-on-non-homophilic-12 | ACMII-GCN | #19 | 1:1 Accuracy: 51.8 ± 1.5 |
| node-classification-on-non-homophilic-12 | ACM-SGC-1 | #22 | 1:1 Accuracy: 45.00 ± 1.4 |
| node-classification-on-non-homophilic-12 | ACM-SGC-2 | #24 | 1:1 Accuracy: 40.02 ± 0.96 |
| node-classification-on-non-homophilic-13 | ACM-GCN++ | #1 | 1:1 Accuracy: 86.08 ± 0.43 |
| node-classification-on-non-homophilic-13 | ACMII-GCN++ | #2 | 1:1 Accuracy: 85.95 ± 0.26 |
| node-classification-on-non-homophilic-13 | ACM-GCN+ | #5 | 1:1 Accuracy: 85.05 ± 0.19 |
| node-classification-on-non-homophilic-13 | ACMII-GCN+ | #6 | 1:1 Accuracy: 84.95 ± 0.43 |
| node-classification-on-non-homophilic-13 | ACM-GCN | #10 | 1:1 Accuracy: 82.73 ± 0.52 |
| node-classification-on-non-homophilic-13 | ACMII-GCN | #12 | 1:1 Accuracy: 82.4 ± 0.48 |
| node-classification-on-non-homophilic-13 | MLP | #26 | 1:1 Accuracy: 73.61 ± 0.40 |
| node-classification-on-non-homophilic-14 | ACM-GCN | #2 | 1:1 Accuracy: 91.44 ± 0.08 |
| node-classification-on-non-homophilic-14 | ACM-GCN++ | #3 | 1:1 Accuracy: 91.4 ± 0.07 |
| node-classification-on-non-homophilic-14 | ACM-GCN+ | #4 | 1:1 Accuracy: 91.33 ± 0.11 |
| node-classification-on-non-homophilic-14 | ACMII-GCN | #5 | 1:1 Accuracy: 91.19 ± 0.16 |
| node-classification-on-non-homophilic-14 | ACMII-GCN+ | #6 | 1:1 Accuracy: 91.13 ± 0.09 |
| node-classification-on-non-homophilic-14 | ACMII-GCN++ | #7 | 1:1 Accuracy: 91.01 ± 0.18 |
| node-classification-on-non-homophilic-15 | ACM-GCN+ | #4 | 1:1 Accuracy: 66.24 ± 0.24 |
| node-classification-on-non-homophilic-15 | ACM-GCN++ | #7 | 1:1 Accuracy: 65.943 ± 0.284 |
| node-classification-on-non-homophilic-15 | ACMII-GCN++ | #8 | 1:1 Accuracy: 65.92 ± 0.14 |
| node-classification-on-non-homophilic-15 | ACMII-GCN+ | #9 | 1:1 Accuracy: 65.838 ± 0.153 |
| node-classification-on-non-homophilic-15 | ACM-GCN | #14 | 1:1 Accuracy: 63.92 ± 0.19 |
| node-classification-on-non-homophilic-15 | ACMII-GCN | #16 | 1:1 Accuracy: 63.73 ± 0.13 |
| node-classification-on-non-homophilic-2 | ACM-GCN++ | #1 | 1:1 Accuracy: 96.56 ± 2 |
| node-classification-on-non-homophilic-2 | ACM-Snowball-2 | #2 | 1:1 Accuracy: 95.74 ± 2.22 |
| node-classification-on-non-homophilic-2 | ACMII-GCN+ | #3 | 1:1 Accuracy: 95.41 ± 2.82 |
| node-classification-on-non-homophilic-2 | ACMII-Snowball-2 | #4 | 1:1 Accuracy: 95.25 ± 1.55 |
| node-classification-on-non-homophilic-2 | ACMII-GCN | #5 | 1:1 Accuracy: 95.08 ± 2.07 |
| node-classification-on-non-homophilic-2 | ACM-GCN+ | #6 | 1:1 Accuracy: 94.92 ± 2.79 |
| node-classification-on-non-homophilic-2 | ACM-Snowball-3 | #7 | 1:1 Accuracy: 94.75 ± 2.41 |
| node-classification-on-non-homophilic-2 | ACMII-Snowball-3 | #8 | 1:1 Accuracy: 94.75 ± 3.09 |
| node-classification-on-non-homophilic-2 | ACMII-GCN++ | #9 | 1:1 Accuracy: 94.75 ± 2.91 |
| node-classification-on-non-homophilic-2 | ACM-SGC-1 | #10 | 1:1 Accuracy: 93.61 ± 1.55 |
| node-classification-on-non-homophilic-2 | ACM-SGC-2 | #11 | 1:1 Accuracy: 93.44 ± 2.54 |
| node-classification-on-non-homophilic-2 | ACM-GCNII* | #12 | 1:1 Accuracy: 93.28 ± 2.79 |
| node-classification-on-non-homophilic-2 | ACM-GCNII | #15 | 1:1 Accuracy: 92.46 ± 1.97 |
| node-classification-on-non-homophilic-2 | GCN+JK | #27 | 1:1 Accuracy: 80.66 ± 1.91 |
| node-classification-on-non-homophilic-2 | GAT+JK | #31 | 1:1 Accuracy: 75.41 ± 7.18 |
| node-classification-on-non-homophilic-4 | ACM-GCN+ | #1 | 1:1 Accuracy: 76.08 ± 2.13 |
| node-classification-on-non-homophilic-4 | ACMII-GCN++ | #2 | 1:1 Accuracy: 75.93 ± 1.71 |
| node-classification-on-non-homophilic-4 | ACMII-GCN+ | #3 | 1:1 Accuracy: 75.51 ± 1.58 |
| node-classification-on-non-homophilic-4 | ACM-GCN++ | #4 | 1:1 Accuracy: 75.23 ± 1.72 |
| node-classification-on-non-homophilic-4 | ACM-Snowball-2 | #5 | 1:1 Accuracy: 68.51 ± 1.7 |
| node-classification-on-non-homophilic-4 | ACM-Snowball-3 | #6 | 1:1 Accuracy: 68.4 ± 2.05 |
| node-classification-on-non-homophilic-4 | ACMII-GCN | #7 | 1:1 Accuracy: 68.38 ± 1.36 |
| node-classification-on-non-homophilic-4 | GAT+JK | #9 | 1:1 Accuracy: 68.14 ± 1.18 |
| node-classification-on-non-homophilic-4 | ACMII-Snowball-2 | #10 | 1:1 Accuracy: 67.83 ± 2.63 |
| node-classification-on-non-homophilic-4 | ACMII-Snowball-3 | #11 | 1:1 Accuracy: 67.53 ± 2.83 |
| node-classification-on-non-homophilic-4 | GCN+JK | #16 | 1:1 Accuracy: 64.68 ± 2.85 |
| node-classification-on-non-homophilic-4 | ACM-SGC-1 | #19 | 1:1 Accuracy: 63.68 ± 1.62 |
| node-classification-on-non-homophilic-4 | ACM-GCNII* | #23 | 1:1 Accuracy: 61.66 ± 2.29 |
| node-classification-on-non-homophilic-4 | ACM-SGC-2 | #25 | 1:1 Accuracy: 60.48 ± 1.55 |
| node-classification-on-non-homophilic-4 | ACM-GCNII | #27 | 1:1 Accuracy: 58.73 ± 2.52 |
| node-classification-on-non-homophilic-4 | MLP-2 | #31 | 1:1 Accuracy: 46.72 ± 0.46 |
| node-classification-on-non-homophilic-6 | ACMII-GCN+++ | #1 | 1:1 Accuracy: 67.5±0.53 |
| node-classification-on-non-homophilic-6 | ACMII-GCN+ | #2 | 1:1 Accuracy: 67.44±0.31 |
| node-classification-on-non-homophilic-6 | ACM-GCN+ | #3 | 1:1 Accuracy: 67.4±0.44 |
| node-classification-on-non-homophilic-6 | ACM-GCN++ | #4 | 1:1 Accuracy: 67.3±0.48 |
| node-classification-on-non-homophilic-6 | ACMII-GCN | #7 | 1:1 Accuracy: 67.15±0.41 |
| node-classification-on-non-homophilic-6 | ACM-GCN | #8 | 1:1 Accuracy: 67.01±0.38 |
| node-classification-on-non-homophilic-6 | ACM-SGC-1 | #12 | 1:1 Accuracy: 66.67±0.56 |
| node-classification-on-non-homophilic-6 | ACM-GCNII* | #13 | 1:1 Accuracy: 66.6±0.57 |
| node-classification-on-non-homophilic-6 | ACM-SGC-2 | #15 | 1:1 Accuracy: 66.53±0.57 |
| node-classification-on-non-homophilic-6 | ACM-GCNII | #17 | 1:1 Accuracy: 66.39±0.56 |
| node-classification-on-non-homophilic-7 | ACMII-GCN++ | #2 | 1:1 Accuracy: 86.49 ± 6.73 |
| node-classification-on-non-homophilic-7 | ACMII-GCN | #5 | 1:1 Accuracy: 85.95 ± 5.64 |
| node-classification-on-non-homophilic-7 | ACM-GCN+ | #8 | 1:1 Accuracy: 85.68 ± 4.84 |
| node-classification-on-non-homophilic-7 | ACM-GCN++ | #9 | 1:1 Accuracy: 85.68 ± 5.8 |
| node-classification-on-non-homophilic-7 | ACMII-GCN+ | #10 | 1:1 Accuracy: 85.41 ± 5.3 |
| node-classification-on-non-homophilic-7 | ACM-GCN | #11 | 1:1 Accuracy: 85.14 ± 6.07 |
| node-classification-on-non-homophilic-7 | ACM-SGC-1 | #16 | 1:1 Accuracy: 82.43 ± 5.44 |
| node-classification-on-non-homophilic-7 | ACM-SGC-2 | #17 | 1:1 Accuracy: 82.43 ± 5.44 |
| node-classification-on-non-homophilic-8 | ACM-GCN | #4 | 1:1 Accuracy: 88.43 ± 3.22 |
| node-classification-on-non-homophilic-8 | ACM-GCN+ | #5 | 1:1 Accuracy: 88.43 ± 2.39 |
| node-classification-on-non-homophilic-8 | ACMII-GCN++ | #6 | 1:1 Accuracy: 88.43 ± 3.66 |
| node-classification-on-non-homophilic-8 | ACM-GCN++ | #7 | 1:1 Accuracy: 88.24 ± 3.16 |
| node-classification-on-non-homophilic-8 | ACMII-GCN+ | #9 | 1:1 Accuracy: 88.04 ± 3.66 |
| node-classification-on-non-homophilic-8 | ACMII-GCN | #11 | 1:1 Accuracy: 87.45 ± 3.74 |
| node-classification-on-non-homophilic-8 | ACM-SGC-1 | #16 | 1:1 Accuracy: 86.47 ± 3.77 |
| node-classification-on-non-homophilic-8 | ACM-SGC-2 | #17 | 1:1 Accuracy: 86.47 ± 3.77 |
| node-classification-on-non-homophilic-9 | ACM-GCN+ | #1 | 1:1 Accuracy: 88.38 ± 3.64 |
| node-classification-on-non-homophilic-9 | ACM-GCN++ | #2 | 1:1 Accuracy: 88.38 ± 3.43 |
| node-classification-on-non-homophilic-9 | ACMII-GCN++ | #3 | 1:1 Accuracy: 88.38 ± 3.43 |
| node-classification-on-non-homophilic-9 | ACMII-GCN+ | #4 | 1:1 Accuracy: 88.11 ± 3.24 |
| node-classification-on-non-homophilic-9 | ACM-GCN | #5 | 1:1 Accuracy: 87.84 ± 4.4 |
| node-classification-on-non-homophilic-9 | ACMII-GCN | #6 | 1:1 Accuracy: 86.76 ± 4.75 |
| node-classification-on-non-homophilic-9 | ACM-SGC-1 | #17 | 1:1 Accuracy: 81.89 ± 4.53 |
| node-classification-on-non-homophilic-9 | ACM-SGC-2 | #18 | 1:1 Accuracy: 81.89 ± 4.53 |
| node-classification-on-penn94 | ACM-GCN++ | #2 | Accuracy: 86.08 ± 0.43 |
| node-classification-on-penn94 | ACMII-GCN++ | #3 | Accuracy: 85.95 ± 0.26 |
| node-classification-on-penn94 | ACM-GCN+ | #7 | Accuracy: 85.05 ± 0.19 |
| node-classification-on-penn94 | ACMII-GCN+ | #8 | Accuracy: 84.95 ± 0.43 |
| node-classification-on-pubmed-48-32-20-fixed | ACMII-GCN | #3 | 1:1 Accuracy: 89.89 ± 0.43 |
| node-classification-on-pubmed-48-32-20-fixed | ACM-GCN+ | #4 | 1:1 Accuracy: 89.82 ± 0.41 |
| node-classification-on-pubmed-48-32-20-fixed | ACMII-GCN+ | #5 | 1:1 Accuracy: 89.78 ± 0.49 |
| node-classification-on-pubmed-48-32-20-fixed | ACMII-GCN++ | #6 | 1:1 Accuracy: 89.71 ± 0.48 |
| node-classification-on-pubmed-48-32-20-fixed | ACM-GCN++ | #7 | 1:1 Accuracy: 89.65 ± 0.58 |
| node-classification-on-pubmed-48-32-20-fixed | ACM-SGC-2 | #16 | 1:1 Accuracy: 89.01 ± 0.6 |
| node-classification-on-pubmed-48-32-20-fixed | ACM-SGC-1 | #19 | 1:1 Accuracy: 88.49 ± 0.51 |
| node-classification-on-pubmed-60-20-20-random | ACM-Snowball-3 | #2 | 1:1 Accuracy: 91.44 ± 0.59 |
| node-classification-on-pubmed-60-20-20-random | ACMII-Snowball-3 | #3 | 1:1 Accuracy: 91.31 ± 0.6 |
| node-classification-on-pubmed-60-20-20-random | ACMII-GCN+ | #4 | 1:1 Accuracy: 90.96 ± 0.62 |
| node-classification-on-pubmed-60-20-20-random | ACM-Snowball-2 | #5 | 1:1 Accuracy: 90.81 ± 0.52 |
| node-classification-on-pubmed-60-20-20-random | ACMII-GCN | #6 | 1:1 Accuracy: 90.74 ± 0.5 |
| node-classification-on-pubmed-60-20-20-random | ACM-GCN | #7 | 1:1 Accuracy: 90.66 ± 0.47 |
| node-classification-on-pubmed-60-20-20-random | ACMII-GCN++ | #9 | 1:1 Accuracy: 90.63 ± 0.56 |
| node-classification-on-pubmed-60-20-20-random | ACMII-Snowball-2 | #10 | 1:1 Accuracy: 90.56 ± 0.39 |
| node-classification-on-pubmed-60-20-20-random | ACM-GCN+ | #11 | 1:1 Accuracy: 90.46 ± 0.69 |
| node-classification-on-pubmed-60-20-20-random | ACM-GCN++ | #12 | 1:1 Accuracy: 90.39 ± 0.33 |
| node-classification-on-pubmed-60-20-20-random | ACM-GCNII* | #13 | 1:1 Accuracy: 90.18 ± 0.51 |
| node-classification-on-pubmed-60-20-20-random | ACM-GCNII | #14 | 1:1 Accuracy: 90.12 ± 0.4 |
| node-classification-on-pubmed-60-20-20-random | GCN+JK | #15 | 1:1 Accuracy: 90.09 ± 0.68 |
| node-classification-on-pubmed-60-20-20-random | GAT+JK | #21 | 1:1 Accuracy: 89.15 ± 0.87 |
| node-classification-on-pubmed-60-20-20-random | ACM-SGC-2 | #25 | 1:1 Accuracy: 88.79 ± 0.5 |
| node-classification-on-pubmed-60-20-20-random | ACM-SGC-1 | #28 | 1:1 Accuracy: 87.75 ± 0.88 |
| node-classification-on-pubmed-60-20-20-random | MLP-2 | #31 | 1:1 Accuracy: 86.43 ± 0.13 |
| node-classification-on-squirrel | ACMII-GCN++ | #6 | Accuracy: 67.4 ± 2.21 |
| node-classification-on-squirrel | ACMII-GCN+ | #7 | Accuracy: 67.07 ± 1.65 |
| node-classification-on-squirrel | ACM-GCN++ | #8 | Accuracy: 67.06 ± 1.66 |
| node-classification-on-squirrel | ACM-GCN+ | #9 | Accuracy: 66.98 ± 1.71 |
| node-classification-on-squirrel | ACM-GCN | #23 | Accuracy: 55.19 ± 1.49 |
| node-classification-on-squirrel | ACMII-GCN | #29 | Accuracy: 51.8 ± 1.5 |
| node-classification-on-squirrel | ACM-SGC-1 | #33 | Accuracy: 45.00 ± 1.4 |
| node-classification-on-squirrel | ACM-SGC-2 | #35 | Accuracy: 40.02 ± 0.96 |
| node-classification-on-squirrel-60-20-20 | ACMII-GCN++ | #1 | 1:1 Accuracy: 69.98 ± 1.53 |
| node-classification-on-squirrel-60-20-20 | ACMII-GCN+ | #2 | 1:1 Accuracy: 69.81 ± 1.11 |
| node-classification-on-squirrel-60-20-20 | ACM-GCN+ | #3 | 1:1 Accuracy: 69.26 ± 1.11 |
| node-classification-on-squirrel-60-20-20 | ACM-GCN++ | #4 | 1:1 Accuracy: 68.56 ± 1.33 |
| node-classification-on-squirrel-60-20-20 | ACM-Snowball-2 | #6 | 1:1 Accuracy: 55.97 ± 2.03 |
| node-classification-on-squirrel-60-20-20 | ACM-Snowball-3 | #7 | 1:1 Accuracy: 55.73 ± 2.39 |
| node-classification-on-squirrel-60-20-20 | ACMII-GCN | #8 | 1:1 Accuracy: 54.53 ± 2.09 |
| node-classification-on-squirrel-60-20-20 | ACMII-Snowball-2 | #9 | 1:1 Accuracy: 53.48 ± 0.6 |
| node-classification-on-squirrel-60-20-20 | GCN+JK | #10 | 1:1 Accuracy: 53.40 ± 1.90 |
| node-classification-on-squirrel-60-20-20 | ACMII-Snowball-3 | #11 | 1:1 Accuracy: 52.31 ± 1.57 |
| node-classification-on-squirrel-60-20-20 | GAT+JK | #12 | 1:1 Accuracy: 52.28 ± 3.61 |
| node-classification-on-squirrel-60-20-20 | ACM-SGC-1 | #19 | 1:1 Accuracy: 46.4 ± 1.13 |
| node-classification-on-squirrel-60-20-20 | ACM-SGC-2 | #27 | 1:1 Accuracy: 40.91 ± 1.39 |
| node-classification-on-squirrel-60-20-20 | ACM-GCNII | #28 | 1:1 Accuracy: 40.9 ± 1.58 |
| node-classification-on-squirrel-60-20-20 | ACM-GCNII* | #30 | 1:1 Accuracy: 38.32 ± 1.5 |
| node-classification-on-squirrel-60-20-20 | MLP-2 | #34 | 1:1 Accuracy: 31.28 ± 0.27 |
| node-classification-on-texas | ACM-GCN+ | #5 | Accuracy: 88.38 ± 3.64 |
| node-classification-on-texas | ACM-GCN++ | #6 | Accuracy: 88.38 ± 3.43 |
| node-classification-on-texas | ACMII-GCN++ | #7 | Accuracy: 88.38 ± 3.43 |
| node-classification-on-texas | ACMII-GCN+ | #8 | Accuracy: 88.11 ± 3.24 |
| node-classification-on-texas | ACM-GCN | #9 | Accuracy: 87.84 ± 4.4 |
| node-classification-on-texas | ACMII-GCN | #12 | Accuracy: 86.76 ± 4.75 |
| node-classification-on-texas | ACM-SGC-1 | #33 | Accuracy: 81.89 ± 4.53 |
| node-classification-on-texas | ACM-SGC-2 | #34 | Accuracy: 81.89 ± 4.53 |
| node-classification-on-texas-60-20-20-random | ACM-GCN++ | #1 | 1:1 Accuracy: 96.56 ± 2 |
| node-classification-on-texas-60-20-20-random | ACM-Snowball-2 | #2 | 1:1 Accuracy: 95.74 ± 2.22 |
| node-classification-on-texas-60-20-20-random | ACMII-GCN+ | #3 | 1:1 Accuracy: 95.41 ± 2.82 |
| node-classification-on-texas-60-20-20-random | ACMII-Snowball-2 | #4 | 1:1 Accuracy: 95.25 ± 1.55 |
| node-classification-on-texas-60-20-20-random | ACMII-GCN | #5 | 1:1 Accuracy: 95.08 ± 2.07 |
| node-classification-on-texas-60-20-20-random | ACM-GCN+ | #6 | 1:1 Accuracy: 94.92 ± 2.79 |
| node-classification-on-texas-60-20-20-random | ACM-Snowball-3 | #7 | 1:1 Accuracy: 94.75 ± 2.41 |
| node-classification-on-texas-60-20-20-random | ACMII-Snowball-3 | #8 | 1:1 Accuracy: 94.75 ± 3.09 |
| node-classification-on-texas-60-20-20-random | ACMII-GCN++ | #9 | 1:1 Accuracy: 94.75 ± 2.91 |
| node-classification-on-texas-60-20-20-random | ACM-SGC-1 | #11 | 1:1 Accuracy: 93.61 ± 1.55 |
| node-classification-on-texas-60-20-20-random | ACM-SGC-2 | #12 | 1:1 Accuracy: 93.44 ± 2.54 |
| node-classification-on-texas-60-20-20-random | ACM-GCNII* | #13 | 1:1 Accuracy: 93.28 ± 2.79 |
| node-classification-on-texas-60-20-20-random | ACM-GCNII | #16 | 1:1 Accuracy: 92.46 ± 1.97 |
| node-classification-on-texas-60-20-20-random | MLP-2 | #17 | 1:1 Accuracy: 92.26 ± 0.71 |
| node-classification-on-texas-60-20-20-random | GCN+JK | #29 | 1:1 Accuracy: 80.66 ± 1.91 |
| node-classification-on-texas-60-20-20-random | GAT+JK | #34 | 1:1 Accuracy: 75.41 ± 7.18 |
| node-classification-on-wisconsin | ACM-GCN | #10 | Accuracy: 88.43 ± 3.22 |
| node-classification-on-wisconsin | ACM-GCN+ | #11 | Accuracy: 88.43 ± 2.39 |
| node-classification-on-wisconsin | ACMII-GCN++ | #12 | Accuracy: 88.43 ± 3.66 |
| node-classification-on-wisconsin | ACM-GCN++ | #13 | Accuracy: 88.24 ± 3.16 |
| node-classification-on-wisconsin | ACMII-GCN+ | #15 | Accuracy: 88.04 ± 3.66 |
| node-classification-on-wisconsin | ACMII-GCN | #21 | Accuracy: 87.45 ± 3.74 |
| node-classification-on-wisconsin | ACM-SGC-1 | #28 | Accuracy: 86.47 ± 3.77 |
| node-classification-on-wisconsin | ACM-SGC-2 | #29 | Accuracy: 86.47 ± 3.77 |
| node-classification-on-wisconsin-60-20-20 | ACM-GCN++ | #1 | 1:1 Accuracy: 97.5 ± 1.25 |
| node-classification-on-wisconsin-60-20-20 | ACMII-GCN++ | #2 | 1:1 Accuracy: 97.13 ± 1.68 |
| node-classification-on-wisconsin-60-20-20 | ACMII-Snowball-3 | #3 | 1:1 Accuracy: 97.00 ± 2.63 |
| node-classification-on-wisconsin-60-20-20 | ACMII-GCN+ | #4 | 1:1 Accuracy: 96.75 ± 1.79 |
| node-classification-on-wisconsin-60-20-20 | ACMII-Snowball-2 | #5 | 1:1 Accuracy: 96.63 ± 2.24 |
| node-classification-on-wisconsin-60-20-20 | ACM-Snowball-3 | #6 | 1:1 Accuracy: 96.62 ± 1.86 |
| node-classification-on-wisconsin-60-20-20 | ACMII-GCN | #7 | 1:1 Accuracy: 96.62 ± 2.44 |
| node-classification-on-wisconsin-60-20-20 | ACM-GCN+ | #8 | 1:1 Accuracy: 96.5 ± 2.08 |
| node-classification-on-wisconsin-60-20-20 | ACM-Snowball-2 | #9 | 1:1 Accuracy: 96.38 ± 2.59 |
| node-classification-on-wisconsin-60-20-20 | ACM-GCN | #10 | 1:1 Accuracy: 95.75 ± 2.03 |
| node-classification-on-wisconsin-60-20-20 | ACM-GCNII | #11 | 1:1 Accuracy: 94.63 ± 2.96 |
| node-classification-on-wisconsin-60-20-20 | ACM-GCNII* | #12 | 1:1 Accuracy: 94.37 ± 2.81 |
| node-classification-on-wisconsin-60-20-20 | ACM-SGC-2 | #13 | 1:1 Accuracy: 94.00 ± 2.61 |
| node-classification-on-wisconsin-60-20-20 | MLP-2 | #14 | 1:1 Accuracy: 93.87 ± 3.33 |
| node-classification-on-wisconsin-60-20-20 | ACM-SGC-1 | #16 | 1:1 Accuracy: 93.25 ± 2.92 |
| node-classification-on-wisconsin-60-20-20 | GAT+JK | #32 | 1:1 Accuracy: 69.50 ± 3.12 |
| node-classification-on-wisconsin-60-20-20 | GCN+JK | #35 | 1:1 Accuracy: 62.50 ± 15.75 |