| text-classification-on-20news | SGC | #3 | Accuracy: 88.5 |
| text-classification-on-20news | SGCN | #4 | Accuracy: 88.5 |
| text-classification-on-ohsumed | SGCN | #3 | Accuracy: 68.5 |
| text-classification-on-ohsumed | SGC | #4 | Accuracy: 68.5 |
| text-classification-on-r52 | SGC | #5 | Accuracy: 94.0 |
| text-classification-on-r52 | SGCN | #6 | Accuracy: 94.0 |
| skeleton-based-action-recognition-on-sbu | SGCConv | #6 | Accuracy: 94.0% |
| text-classification-on-r8 | SGC | #14 | Accuracy: 97.2 |
| text-classification-on-r8 | SGCN | #15 | Accuracy: 97.2 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-60-20-20-random-splits | SGC-1 | #15 | 1:1 Accuracy: 64.86 ± 1.81 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-60-20-20-random-splits | SGC-2 | #21 | 1:1 Accuracy: 62.67 ± 2.41 |
| sentiment-analysis-on-mr | SGC | #15 | Accuracy: 75.9 |
| sentiment-analysis-on-mr | SGCN | #16 | Accuracy: 75.9 |
| node-classification-on-chameleon-60-20-20-random-splits | SGC-1 | #16 | 1:1 Accuracy: 64.86 ± 1.81 |
| node-classification-on-chameleon-60-20-20-random-splits | SGC-2 | #23 | 1:1 Accuracy: 62.67 ± 2.41 |
| node-property-prediction-on-ogbn-papers100m | SGC | #16 | Test Accuracy: 0.6329 ± 0.0019Ext. data: No… |
| node-classification-on-squirrel-60-20-20-random-splits | SGC-1 | #17 | 1:1 Accuracy: 47.62 ± 1.27 |
| node-classification-on-squirrel-60-20-20-random-splits | SGC-2 | #26 | 1:1 Accuracy: 41.25 ± 1.4 |
| graph-regression-on-lipophilicity | SGC | #20 | RMSE: 0.998 |
| node-classification-on-citeseer-60-20-20-random-splits | SGC-2 | #20 | 1:1 Accuracy: 80.75 ± 1.15 |
| node-classification-on-citeseer-60-20-20-random-splits | SGC-1 | #23 | 1:1 Accuracy: 79.66 ± 0.75 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-genius | SGC 1-hop | #21 | 1:1 Accuracy: 82.36 ± 0.37 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-genius | SGC 2-hop | #22 | 1:1 Accuracy: 82.10 ± 0.14 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-texas-60-20-20-random-splits | SGC-1 | #21 | 1:1 Accuracy: 83.28 ± 5.43 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-texas-60-20-20-random-splits | SGC-2 | #26 | 1:1 Accuracy: 81.31 ± 3.3 |
| node-classification-on-texas-60-20-20-random-splits | SGC-1 | #23 | 1:1 Accuracy: 83.28 ± 5.43 |
| node-classification-on-texas-60-20-20-random-splits | SGC-2 | #28 | 1:1 Accuracy: 81.31 ± 3.3 |
| node-classification-on-genius | SGC 1-hop | #24 | Accuracy: 82.36 ± 0.37 |
| node-classification-on-genius | SGC 2-hop | #25 | Accuracy: 82.10 ± 0.14 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-deezer-europe | SGC-1 | #24 | 1:1 Accuracy: 59.73±0.12 |
| node-classification-on-cora-60-20-20-random-splits | SGC-2 | #25 | 1:1 Accuracy: 85.48 ± 1.48 |
| node-classification-on-cora-60-20-20-random-splits | SGC-1 | #27 | 1:1 Accuracy: 85.12 ± 1.64 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-penn94 | SGC 2-hop | #25 | 1:1 Accuracy: 76.09 ± 0.45 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-penn94 | SGC 1-hop | #32 | 1:1 Accuracy: 66.79 ± 0.27 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamers | SGC 2-hop | #25 | 1:1 Accuracy: 59.94 ± 0.21 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamers | SGC 1-hop | #26 | 1:1 Accuracy: 58.97 ± 0.19 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-60-20-20-random-splits | SGC-2 | #25 | 1:1 Accuracy: 74.75 ± 2.89 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-60-20-20-random-splits | SGC-1 | #27 | 1:1 Accuracy: 70.38 ± 2.85 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-60-20-20-random-splits | SGC-2 | #28 | 1:1 Accuracy: 72.62 ± 9.92 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-60-20-20-random-splits | SGC-1 | #30 | 1:1 Accuracy: 70.98 ± 8.39 |
| node-classification-on-wisconsin-60-20-20-random-splits | SGC-2 | #28 | 1:1 Accuracy: 74.75 ± 2.89 |
| node-classification-on-wisconsin-60-20-20-random-splits | SGC-1 | #30 | 1:1 Accuracy: 70.38 ± 2.85 |
| node-classification-on-penn94 | SGC 2-hop | #29 | Accuracy: 76.09 ± 0.45 |
| node-classification-on-penn94 | SGC 1-hop | #36 | Accuracy: 66.79 ± 0.27 |
| node-classification-on-pubmed-with-public-split-fixed-20-nodes-per-class | SGC | #29 | Accuracy: 78.9% |
| relation-extraction-on-tacred | C-SGC | #29 | F1: 67.0 |
| node-classification-on-cornell-60-20-20-random-splits | SGC-2 | #30 | 1:1 Accuracy: 72.62 ± 9.92 |
| node-classification-on-cornell-60-20-20-random-splits | SGC-1 | #32 | 1:1 Accuracy: 70.98 ± 8.39 |
| node-classification-on-citeseer-with-public-split-fixed-20-nodes-per-class | SGC | #31 | Accuracy: 71.9% |
| node-classification-on-pubmed-60-20-20-random-splits | SGC-1 | #32 | 1:1 Accuracy: 85.5 ± 0.76 |
| node-classification-on-pubmed-60-20-20-random-splits | SGC-2 | #33 | 1:1 Accuracy: 85.36 ± 0.52 |
| node-classification-on-cora-with-public-split-fixed-20-nodes-per-class | SGC | #34 | Accuracy: 81.0% |
| node-classification-on-film-60-20-20-random-splits | SGC-2 | #35 | 1:1 Accuracy: 28.81 ± 1.11 |
| node-classification-on-film-60-20-20-random-splits | SGC-1 | #36 | 1:1 Accuracy: 25.26 ± 1.18 |