| node-classification-on-chameleon-60-20-20 | Snowball-3 | #14 | 1:1 Accuracy: 65.49 ± 1.64 |
| node-classification-on-chameleon-60-20-20 | Snowball-2 | #15 | 1:1 Accuracy: 64.99 ± 2.39 |
| node-classification-on-citeseer-05 | Truncated Krylov | #3 | Accuracy: 64.64% |
| node-classification-on-citeseer-05 | Snowball (tanh) | #4 | Accuracy: 62.05% |
| node-classification-on-citeseer-05 | Snowball (linear + tanh) | #5 | Accuracy: 61.99% |
| node-classification-on-citeseer-05 | Snowball (linear) | #6 | Accuracy: 59.41% |
| node-classification-on-citeseer-1 | Truncated Krylov | #2 | Accuracy: 69.03% |
| node-classification-on-citeseer-1 | Snowball (linear + tanh) | #4 | Accuracy: 67.07% |
| node-classification-on-citeseer-1 | Snowball (linear) | #5 | Accuracy: 65.85% |
| node-classification-on-citeseer-1 | Snowball (tanh) | #6 | Accuracy: 64.23% |
| node-classification-on-citeseer-60-20-20 | Snowball-2 | #14 | 1:1 Accuracy: 81.53 ± 1.71 |
| node-classification-on-citeseer-60-20-20 | Snowball-3 | #18 | 1:1 Accuracy: 80.93 ± 1.32 |
| node-classification-on-citeseer-with-public | Truncated Krylov | #11 | Accuracy: 73.86% |
| node-classification-on-citeseer-with-public | Snowball (tanh) | #16 | Accuracy: 73.32% |
| node-classification-on-citeseer-with-public | Snowball (linear) | #22 | Accuracy: 72.85% |
| node-classification-on-cora-05 | Truncated Krylov | #3 | Accuracy: 74.89% |
| node-classification-on-cora-05 | Snowball (tanh) | #4 | Accuracy: 71.36% |
| node-classification-on-cora-05 | Snowball (linear) | #5 | Accuracy: 69.99% |
| node-classification-on-cora-05 | Snowball (linear + tanh) | #6 | Accuracy: 67.76% |
| node-classification-on-cora-1 | Truncated Krylov | #2 | Accuracy: 78.15% |
| node-classification-on-cora-1 | Snowball (linear + tanh) | #4 | Accuracy: 74.79% |
| node-classification-on-cora-1 | Snowball (tanh) | #5 | Accuracy: 74.78% |
| node-classification-on-cora-1 | Snowball (linear) | #6 | Accuracy: 73.10% |
| node-classification-on-cora-3 | Truncated Krylov | #3 | Accuracy: 81.92% |
| node-classification-on-cora-3 | Snowball (linear) | #4 | Accuracy: 80.96% |
| node-classification-on-cora-3 | Snowball (tanh) | #5 | Accuracy: 80.72% |
| node-classification-on-cora-3 | Snowball (linear + tanh) | #6 | Accuracy: 79.52% |
| node-classification-on-cora-60-20-20-random | Snowball-3 | #6 | 1:1 Accuracy: 89.33 ± 1.3 |
| node-classification-on-cora-60-20-20-random | Snowball-2 | #17 | 1:1 Accuracy: 88.64 ± 1.15 |
| node-classification-on-cora-with-public-split | Snowball (linear) | #18 | Accuracy: 83.26% |
| node-classification-on-cora-with-public-split | Snowball (tanh) | #20 | Accuracy: 83.19% |
| node-classification-on-cora-with-public-split | Truncated Krylov | #21 | Accuracy: 83.16% |
| node-classification-on-cornell-60-20-20 | Snowball-3 | #23 | 1:1 Accuracy: 82.95 ± 2.1 |
| node-classification-on-cornell-60-20-20 | Snowball-2 | #24 | 1:1 Accuracy: 82.62 ± 2.34 |
| node-classification-on-film-60-20-20-random | Snowball-3 | #26 | 1:1 Accuracy: 36.00 ± 1.36 |
| node-classification-on-film-60-20-20-random | Snowball-2 | #28 | 1:1 Accuracy: 35.97 ± 0.66 |
| node-classification-on-non-homophilic | Snowball-3 | #23 | 1:1 Accuracy: 82.95 ± 2.1 |
| node-classification-on-non-homophilic | Snowball-2 | #24 | 1:1 Accuracy: 82.62 ± 2.34 |
| node-classification-on-non-homophilic-1 | Snowball-2 | #24 | 1:1 Accuracy: 74.88 ± 3.42 |
| node-classification-on-non-homophilic-1 | Snowball-3 | #28 | 1:1 Accuracy: 69.5 ± 5.01 |
| node-classification-on-non-homophilic-2 | Snowball-2 | #23 | 1:1 Accuracy: 83.11 ± 3.2 |
| node-classification-on-non-homophilic-2 | Snowball-3 | #24 | 1:1 Accuracy: 83.11 ± 3.2 |
| node-classification-on-non-homophilic-4 | Snowball-3 | #13 | 1:1 Accuracy: 65.49 ± 1.64 |
| node-classification-on-non-homophilic-4 | Snowball-2 | #14 | 1:1 Accuracy: 64.99 ± 2.39 |
| node-classification-on-pubmed-003 | Truncated Krylov | #2 | Accuracy: 71.11% |
| node-classification-on-pubmed-003 | Snowball (linear) | #3 | Accuracy: 68.12% |
| node-classification-on-pubmed-003 | Snowball (tanh) | #5 | Accuracy: 62.61% |
| node-classification-on-pubmed-003 | Snowball (linear + tanh) | #6 | Accuracy: 61.94% |
| node-classification-on-pubmed-005 | Truncated Krylov | #2 | Accuracy: 72.57% |
| node-classification-on-pubmed-005 | Snowball (linear) | #3 | Accuracy: 70.04% |
| node-classification-on-pubmed-005 | Snowball (linear + tanh) | #5 | Accuracy: 69.45% |
| node-classification-on-pubmed-005 | Snowball (tanh) | #6 | Accuracy: 68.99% |
| node-classification-on-pubmed-01 | Truncated Krylov | #1 | Accuracy: 77.21% |
| node-classification-on-pubmed-01 | Snowball (linear + tanh) | #3 | Accuracy: 75.30% |
| node-classification-on-pubmed-01 | Snowball (tanh) | #4 | Accuracy: 74.40% |
| node-classification-on-pubmed-01 | Snowball (linear) | #5 | Accuracy: 73.83% |
| node-classification-on-pubmed-60-20-20-random | Snowball-2 | #22 | 1:1 Accuracy: 89.04 ± 0.49 |
| node-classification-on-pubmed-60-20-20-random | Snowball-3 | #24 | 1:1 Accuracy: 88.8 ± 0.82 |
| node-classification-on-pubmed-with-public | Truncated Krylov | #6 | Accuracy: 81.7% |
| node-classification-on-pubmed-with-public | Snowball (tanh) | #20 | Accuracy: 79.16% |
| node-classification-on-pubmed-with-public | Snowball (linear) | #21 | Accuracy: 79.10% |
| node-classification-on-squirrel-60-20-20 | Snowball-3 | #15 | 1:1 Accuracy: 48.25 ± 0.94 |
| node-classification-on-squirrel-60-20-20 | Snowball-2 | #16 | 1:1 Accuracy: 47.88 ± 1.23 |
| node-classification-on-texas-60-20-20-random | Snowball-2 | #25 | 1:1 Accuracy: 83.11 ± 3.2 |
| node-classification-on-texas-60-20-20-random | Snowball-3 | #26 | 1:1 Accuracy: 83.11 ± 3.2 |
| node-classification-on-wisconsin-60-20-20 | Snowball-2 | #27 | 1:1 Accuracy: 74.88 ± 3.42 |
| node-classification-on-wisconsin-60-20-20 | Snowball-3 | #31 | 1:1 Accuracy: 69.5 ± 5.01 |