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ResearchFormerly WizWand

Multilabel Graph Classification on Peptides-func LRGB (test)

71.5APDRew+LapPE
22.134.92547.7560.575Sep 27, 2023Mar 3, 2024Aug 9, 2024Jan 15, 2025Jun 23, 2025Nov 29, 2025May 7, 2026
Updated 5mo ago

Evaluation results

MethodLinks
DRew+LapPEparameter budget=≈ 500K, positional encoding=Laplacian PE2023.1271.5
DRewEvaluation protocol=original2026.0571.5
GRED+LapPEparameter budget=≈ 500K, positional encoding=Laplacian PE2023.1271.33
GREDparameter budget=≈ 500K, positional encoding=None2023.1270.85
CRaWlEvaluation protocol=original2026.0570.74
DRewparameter budget=≈ 500K2023.1269.96
GRIT2024.0169.88
GRITparameter budget=≈ 500K2023.1269.88
GRITEvaluation protocol=original2026.0569.88
Graph-MLPMixerparameter budget=≈ 500K2023.1269.7
Graph ViTEvaluation protocol=original2026.0569.42
G-MLPMixerEvaluation protocol=original2026.0569.21
agg + IEvaluation protocol=original2026.0568.74
GCNparameter budget=≈ 500K, positional encoding=Tuned with PE (Tönshoff et al., 2023)2023.1268.6
GCNEvaluation protocol=retuned2026.0568.6
PathNNparameter budget=≈ 500K2023.1268.16
GatedGCNparameter budget=≈ 500K, positional encoding=Tuned with PE (Tönshoff et al., 2023)2023.1267.65
GatedGCNEvaluation protocol=retuned2026.0567.65
GINEparameter budget=≈ 500K, positional encoding=Tuned with PE (Tönshoff et al., 2023)2023.1266.21
GINEEvaluation protocol=retuned2026.0566.21
GPS2024.0165.35
GPSparameter budget=≈ 500K2023.1265.35
GPSEvaluation protocol=original2026.0565.35
GPSEvaluation protocol=retuned2026.0565.34
EXPHORMER2024.0165.27
ExphormerEvaluation protocol=original2026.0565.27
SAN + RWSESupervised=True2023.0964.4
SAN+RWSEPositional Encoding=RWSE2024.0164.39
SAN+RWSEEvaluation protocol=original2026.0564.39
EIGENFORMERtraining_runs=12024.0164.14
SAN+LapPEPositional Encoding=LapPE2024.0163.84
SAN+LapPEparameter budget=≈ 500K, positional encoding=Laplacian PE2023.1263.84
SAN+LapPEEvaluation protocol=original2026.0563.84
Transformer+LapPEPositional Encoding=LapPE2024.0163.26
Transformer+LapPEEvaluation protocol=original2026.0563.26
EIGENFORMERtraining_runs=1, attention_type=feature2024.0163.17
GatedGCN + RWSESupervised=True2023.0960.7
GatedGCN+RWSEPositional Encoding=RWSE2024.0160.69
GatedGCN+RWSEEvaluation protocol=original2026.0560.69
GCN2024.0159.3
GCNSupervised=True2023.0959.3
GCNEvaluation protocol=original2026.0559.3
GatedGCN2024.0158.64
GatedGCNEvaluation protocol=original2026.0558.64
GCNIIEvaluation protocol=original2026.0555.43
GINE2024.0154.98
GINEEvaluation protocol=original2026.0554.98
Graph-JEPAPositional Encoding=True2023.0926.3
Graph-JEPAPositional Encoding=False, Latent Objective=Euclidean2023.0925.2
Graph-JEPAPositional Encoding=False2023.0924