Multilabel Graph Classification on Peptides-func LRGB (test)
71.5APDRew+LapPE
Evaluation Results
| Method | Links | |
|---|---|---|
| DRew+LapPEparameter budget=≈ 500K, positional encoding=Laplacian PE2023.12 | 71.5 | |
| DRewEvaluation protocol=original2026.05 | 71.5 | |
| GRED+LapPEparameter budget=≈ 500K, positional encoding=Laplacian PE2023.12 | 71.33 | |
| GREDparameter budget=≈ 500K, positional encoding=None2023.12 | 70.85 | |
| CRaWlEvaluation protocol=original2026.05 | 70.74 | |
| DRewparameter budget=≈ 500K2023.12 | 69.96 | |
| GRIT2024.01 | 69.88 | |
| GRITparameter budget=≈ 500K2023.12 | 69.88 | |
| GRITEvaluation protocol=original2026.05 | 69.88 | |
| Graph-MLPMixerparameter budget=≈ 500K2023.12 | 69.7 | |
| Graph ViTEvaluation protocol=original2026.05 | 69.42 | |
| G-MLPMixerEvaluation protocol=original2026.05 | 69.21 | |
| agg + IEvaluation protocol=original2026.05 | 68.74 | |
| GCNparameter budget=≈ 500K, positional encoding=Tuned with PE (Tönshoff et al., 2023)2023.12 | 68.6 | |
| GCNEvaluation protocol=retuned2026.05 | 68.6 | |
| PathNNparameter budget=≈ 500K2023.12 | 68.16 | |
| GatedGCNparameter budget=≈ 500K, positional encoding=Tuned with PE (Tönshoff et al., 2023)2023.12 | 67.65 | |
| GatedGCNEvaluation protocol=retuned2026.05 | 67.65 | |
| GINEparameter budget=≈ 500K, positional encoding=Tuned with PE (Tönshoff et al., 2023)2023.12 | 66.21 | |
| GINEEvaluation protocol=retuned2026.05 | 66.21 | |
| GPS2024.01 | 65.35 | |
| GPSparameter budget=≈ 500K2023.12 | 65.35 | |
| GPSEvaluation protocol=original2026.05 | 65.35 | |
| GPSEvaluation protocol=retuned2026.05 | 65.34 | |
| EXPHORMER2024.01 | 65.27 | |
| ExphormerEvaluation protocol=original2026.05 | 65.27 | |
| SAN + RWSESupervised=True2023.09 | 64.4 | |
| SAN+RWSEPositional Encoding=RWSE2024.01 | 64.39 | |
| SAN+RWSEEvaluation protocol=original2026.05 | 64.39 | |
| EIGENFORMERtraining_runs=12024.01 | 64.14 | |
| SAN+LapPEPositional Encoding=LapPE2024.01 | 63.84 | |
| SAN+LapPEparameter budget=≈ 500K, positional encoding=Laplacian PE2023.12 | 63.84 | |
| SAN+LapPEEvaluation protocol=original2026.05 | 63.84 | |
| Transformer+LapPEPositional Encoding=LapPE2024.01 | 63.26 | |
| Transformer+LapPEEvaluation protocol=original2026.05 | 63.26 | |
| EIGENFORMERtraining_runs=1, attention_type=feature2024.01 | 63.17 | |
| GatedGCN + RWSESupervised=True2023.09 | 60.7 | |
| GatedGCN+RWSEPositional Encoding=RWSE2024.01 | 60.69 | |
| GatedGCN+RWSEEvaluation protocol=original2026.05 | 60.69 | |
| GCN2024.01 | 59.3 | |
| GCNSupervised=True2023.09 | 59.3 | |
| GCNEvaluation protocol=original2026.05 | 59.3 | |
| GatedGCN2024.01 | 58.64 | |
| GatedGCNEvaluation protocol=original2026.05 | 58.64 | |
| GCNIIEvaluation protocol=original2026.05 | 55.43 | |
| GINE2024.01 | 54.98 | |
| GINEEvaluation protocol=original2026.05 | 54.98 | |
| Graph-JEPAPositional Encoding=True2023.09 | 26.3 | |
| Graph-JEPAPositional Encoding=False, Latent Objective=Euclidean2023.09 | 25.2 | |
| Graph-JEPAPositional Encoding=False2023.09 | 24 |