| node-classification-on-cora-full-supervised | GCNII | #1 | Accuracy: 88.49% |
| node-classification-on-pubmed-48-32-20-fixed-splits | GCNII | #1 | 1:1 Accuracy: 90.15 ± 0.43 |
| node-classification-on-cora-48-32-20-fixed-splits | GCNII | #2 | 1:1 Accuracy: 88.37 ± 1.25 |
| node-classification-on-ppi | GCNII* | #2 | F1: 99.56 |
| node-classification-on-cora-with-public-split-fixed-20-nodes-per-class | GCNII | #3 | Accuracy: 85.5% |
| link-prediction-on-pcqm-contact | GCNII | #4 | Hits@1: 0.1325±0.0009Hits@3: 0.3607±0.0003Hits@10: 0.8116±0.0009… |
| node-classification-on-citeseer-full-supervised | GCNII* | #4 | Accuracy: 77.13% |
| node-classification-on-pubmed-full-supervised | GCNII* | #4 | Accuracy: 90.30% |
| node-classification-on-citeseer-48-32-20-fixed-splits | GCNII | #5 | 1:1 Accuracy: 77.33 ± 1.48 |
| node-classification-on-citeseer-60-20-20-random-splits | GCNII* | #5 | 1:1 Accuracy: 81.83 ± 1.78 |
| node-classification-on-citeseer-60-20-20-random-splits | GCNII | #11 | 1:1 Accuracy: 81.58 ± 1.3 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-film-48-32-20-fixed-splits | GCNII | #7 | 1:1 Accuracy: 37.44 ± 1.30 |
| node-classification-on-film-60-20-20-random-splits | GCNII* | #9 | 1:1 Accuracy: 41.54 ± 0.99 |
| node-classification-on-film-60-20-20-random-splits | GCNII | #16 | 1:1 Accuracy: 40.82 ± 1.79 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-penn94 | GCNII | #9 | 1:1 Accuracy: 82.92 ± 0.59 |
| node-classification-on-cora-60-20-20-random-splits | GCNII | #12 | 1:1 Accuracy: 88.98 ± 1.33 |
| node-classification-on-cora-60-20-20-random-splits | GCNII* | #14 | 1:1 Accuracy: 88.93 ± 1.37 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-genius | GCNII | #13 | 1:1 Accuracy: 90.24 ± 0.09 |
| node-classification-on-genius | GCNII | #14 | Accuracy: 90.24 ± 0.09 |
| node-classification-on-penn94 | GCNII | #14 | Accuracy: 82.92 ± 0.59 |
| node-classification-on-citeseer-with-public-split-fixed-20-nodes-per-class | GCNII | #16 | Accuracy: 73.4% |
| node-classification-on-non-homophilic-heterophilic-graphs-on-deezer-europe | GCNII* | #16 | 1:1 Accuracy: 66.42±0.56 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-deezer-europe | GCNII | #18 | 1:1 Accuracy: 66.38±0.45 |
| node-classification-on-actor | GCNII | #17 | Accuracy: 37.44 ± 1.30 |
| node-classification-on-coco-sp | GCNII | #17 | macro F1: 0.1404±0.0011 |
| node-classification-on-pubmed-60-20-20-random-splits | GCNII* | #17 | 1:1 Accuracy: 89.98 ± 0.52 |
| node-classification-on-pubmed-60-20-20-random-splits | GCNII | #20 | 1:1 Accuracy: 89.8 ± 0.3 |
| node-classification-on-pubmed-with-public-split-fixed-20-nodes-per-class | GCNII | #17 | Accuracy: 80.2% |
| node-classification-on-non-homophilic-heterophilic-graphs-on-twitch-gamers | GCNII | #18 | 1:1 Accuracy: 63.39 ± 0.61 |
| node-classification-on-cornell-60-20-20-random-splits | GCNII* | #19 | 1:1 Accuracy: 90.49 ± 4.45 |
| node-classification-on-cornell-60-20-20-random-splits | GCNII | #20 | 1:1 Accuracy: 89.18 ± 3.96 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-60-20-20-random-splits | GCNII* | #19 | 1:1 Accuracy: 90.49 ± 4.45 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-60-20-20-random-splits | GCNII | #20 | 1:1 Accuracy: 89.18 ± 3.96 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-texas-60-20-20-random-splits | GCNII* | #19 | 1:1 Accuracy: 88.52 ± 3.02 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-texas-60-20-20-random-splits | GCNII | #25 | 1:1 Accuracy: 82.46 ± 4.58 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-60-20-20-random-splits | GCNII* | #19 | 1:1 Accuracy: 89.12 ± 3.06 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-60-20-20-random-splits | GCNII | #21 | 1:1 Accuracy: 83.25 ± 2.69 |
| node-classification-on-wisconsin-60-20-20-random-splits | GCNII* | #19 | 1:1 Accuracy: 89.12 ± 3.06 |
| node-classification-on-wisconsin-60-20-20-random-splits | GCNII | #23 | 1:1 Accuracy: 83.25 ± 2.69 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-60-20-20-random-splits | GCNII* | #20 | 1:1 Accuracy: 62.8 ± 2.87 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-60-20-20-random-splits | GCNII | #26 | 1:1 Accuracy: 60.35 ± 2.7 |
| node-classification-on-pascalvoc-sp | GCNII | #20 | macro F1: 0.1698±0.0080 |
| node-classification-on-texas-60-20-20-random-splits | GCNII* | #20 | 1:1 Accuracy: 88.52 ± 3.02 |
| node-classification-on-texas-60-20-20-random-splits | GCNII | #27 | 1:1 Accuracy: 82.46 ± 4.58 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-wisconsin-48-32-20-fixed-splits | GCNII | #21 | 1:1 Accuracy: 80.39 ± 3.40 |
| node-classification-on-chameleon-60-20-20-random-splits | GCNII* | #22 | 1:1 Accuracy: 62.8 ± 2.87 |
| node-classification-on-chameleon-60-20-20-random-splits | GCNII | #29 | 1:1 Accuracy: 60.35 ± 2.7 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-cornell-48-32-20-fixed-splits | GCNII | #22 | 1:1 Accuracy: 77.86 ± 3.79 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-texas-48-32-20-fixed-splits | GCNII | #22 | 1:1 Accuracy: 77.57 ± 3.83 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-chameleon-48-32-20-fixed-splits | GCNII | #23 | 1:1 Accuracy: 63.86 ± 3.04 |
| node-classification-on-non-homophilic-heterophilic-graphs-on-squirrel-48-32-20-fixed-splits | GCNII | #25 | 1:1 Accuracy: 38.47 ± 1.58 |
| node-classification-on-squirrel-60-20-20-random-splits | GCNII | #29 | 1:1 Accuracy: 38.81 ± 1.97 |
| node-classification-on-squirrel-60-20-20-random-splits | GCNII* | #31 | 1:1 Accuracy: 38.31 ± 1.3 |
| node-classification-on-cornell | GCNII | #33 | Accuracy: 77.86 ± 3.79 |
| graph-regression-on-peptides-struct | GCNII | #36 | MAE: 0.3471±0.0010 |
| node-classification-on-chameleon | GCNII | #36 | Accuracy: 63.86 ± 3.04 |
| node-classification-on-squirrel | GCNII | #36 | Accuracy: 38.47 ± 1.58 |
| node-classification-on-wisconsin | GCNII | #38 | Accuracy: 80.39 ± 3.40 |
| node-classification-on-texas | GCNII | #39 | Accuracy: 77.57 ± 3.83 |
| graph-classification-on-peptides-func | GCNII | #43 | AP: 0.5543±0.0078 |
| node-property-prediction-on-ogbn-arxiv | GCNII | #48 | Test Accuracy: 0.7274 ± 0.0016Ext. data: No… |