| link-prediction-on-pcqm-contact | SAN+LapPE | #2 | Hits@1: 0.1355±0.0017Hits@3: 0.4004±0.0021Hits@10: 0.8478±0.0044… |
| link-prediction-on-pcqm-contact | GINE | #3 | Hits@1: 0.1337±0.0013Hits@3: 0.3642±0.0043Hits@10: 0.8147±0.0062… |
| link-prediction-on-pcqm-contact | GCN | #5 | Hits@1: 0.1321±0.0007Hits@3: 0.3791±0.0004Hits@10: 0.8256±0.0006… |
| link-prediction-on-pcqm-contact | SAN+RWSE | #6 | Hits@1: 0.1312±0.0016Hits@3: 0.4030±0.0008Hits@10: 0.8550±0.0024… |
| link-prediction-on-pcqm-contact | GatedGCN+RWSE | #7 | Hits@1: 0.1288±0.0013Hits@3: 0.3808±0.0006Hits@10: 0.8517±0.0005… |
| link-prediction-on-pcqm-contact | GatedGCN | #8 | Hits@1: 0.1279±0.0018Hits@3: 0.3783±0.0004Hits@10: 0.8433±0.0011… |
| link-prediction-on-pcqm-contact | Transformer+LapPE | #9 | Hits@1: 0.1221±0.0011Hits@3: 0.3679±0.0033Hits@10: 0.8517±0.0039… |
| node-classification-on-coco-sp | GatedGCN | #10 | macro F1: 0.2641±0.0045 |
| node-classification-on-coco-sp | Transformer+LapPE | #11 | macro F1: 0.2618±0.0031 |
| node-classification-on-coco-sp | SAN+LapPE | #12 | macro F1: 0.2592±0.0158 |
| node-classification-on-coco-sp | GatedGCN+LapPE | #13 | macro F1: 0.2574±0.0034 |
| node-classification-on-coco-sp | SAN+RWSE | #14 | macro F1: 0.2434±0.0156 |
| node-classification-on-coco-sp | GINE | #18 | macro F1: 0.1339±0.0044 |
| node-classification-on-coco-sp | GCN | #20 | macro F1: 0.0841±0.0010 |
| node-classification-on-pascalvoc-sp | SAN+LapPE | #11 | macro F1: 0.3230±0.0039 |
| node-classification-on-pascalvoc-sp | SAN+RWSE | #12 | macro F1: 0.3216±0.0027 |
| node-classification-on-pascalvoc-sp | GatedGCN | #15 | macro F1: 0.2873±0.0219 |
| node-classification-on-pascalvoc-sp | GatedGCN+LapPE | #16 | macro F1: 0.2860±0.0085 |
| node-classification-on-pascalvoc-sp | Transformer+LapPE | #18 | macro F1: 0.2694±0.0098 |
| node-classification-on-pascalvoc-sp | GCN | #21 | macro F1: 0.1268±0.0060 |
| node-classification-on-pascalvoc-sp | GINE | #22 | macro F1: 0.1265±0.0076 |
| graph-regression-on-peptides-struct | Transformer+LapPE | #27 | MAE: 0.2529±0.0016 |
| graph-regression-on-peptides-struct | SAN+RWSE | #29 | MAE: 0.2545±0.0012 |
| graph-regression-on-peptides-struct | SAN+LapPE | #32 | MAE: 0.2683±0.0043 |
| graph-regression-on-peptides-struct | GatedGCN+RWSE | #34 | MAE: 0.3357±0.0006 |
| graph-regression-on-peptides-struct | GatedGCN | #35 | MAE: 0.3420±0.0013 |
| graph-regression-on-peptides-struct | GCN | #37 | MAE: 0.3496±0.0013 |
| graph-regression-on-peptides-struct | GINE | #38 | MAE: 0.3547±0.0045 |
| graph-classification-on-peptides-func | SAN+RWSE | #35 | AP: 0.6439±0.0075 |
| graph-classification-on-peptides-func | SAN+LapPE | #36 | AP: 0.6384±0.0121 |
| graph-classification-on-peptides-func | Transformer+LapPE | #37 | AP: 0.6326±0.0126 |
| graph-classification-on-peptides-func | GatedGCN+RWSE | #38 | AP: 0.6069±0.0035 |
| graph-classification-on-peptides-func | GCN | #41 | AP: 0.5930±0.0023 |
| graph-classification-on-peptides-func | GatedGCN | #42 | AP: 0.5864±0.0077 |
| graph-classification-on-peptides-func | GINE | #44 | AP: 0.5498±0.0079 |