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ResearchFormerly WizWand

Link Prediction on CS (test)

96.21APHyboNet
91.727692.891394.05595.2187Oct 23, 2024
Updated 8mo ago

Evaluation results

MethodLinks
HyboNetModel Architecture Category=ANN-R2024.1096.21——
SGCModel Architecture Category=ANN-E2024.1095.34——
MSGModel Architecture Category=SNN-E2024.1095.12——
SpikeGCLModel Architecture Category=SNN-E2024.1095.06——
kappa-GCNModel Architecture Category=ANN-R2024.1094.97——
SAGEModel Architecture Category=ANN-E2024.1094.86——
SpikingGCNModel Architecture Category=SNN-E2024.1094.79——
GATModel Architecture Category=ANN-E2024.1094.34——
GCNModel Architecture Category=ANN-E2024.1093.38——
Q-GCNModel Architecture Category=ANN-R2024.1092.24——
HGCNModel Architecture Category=ANN-R2024.1091.9——
Auto-GNNMax refinement budget=100, Number of trials=102025.07—89.46—
AutoTransferMax refinement budget=100, Number of trials=102025.07—90.13—
DesiGNNMax refinement budget=100, Number of trials=102025.07—90.26—
EAMax refinement budget=100, Number of trials=102025.07—89.3—
EHDMDistillation=Teacher-Student, Teacher=Ensemble Heuristics2025.04——74.33
GAT-MLPDistillation=Teacher-Student, Teacher=GAT2025.04——63.65
GCN-MLPDistillation=Teacher-Student, Teacher=GCN2025.04——66.64
GraphGymMax refinement budget=100, Number of trials=102025.07—87.63—
GraphNASMax refinement budget=100, Number of trials=102025.07—89.48—
M-DESIGNMax refinement budget=100, Number of trials=102025.07—90.26—
NAS-Bench-GraphMax refinement budget=100, Number of trials=102025.07—87.63—
NCN-MLPDistillation=Teacher-Student, Teacher=NCN2025.04——58.82
RandomMax refinement budget=100, Number of trials=102025.07—89.38—
RLMax refinement budget=100, Number of trials=102025.07—89.26—
SAGE-MLPDistillation=Teacher-Student, Teacher=GraphSAGE2025.04——65.5
Space OptimumMax refinement budget=100, Number of trials=102025.07—90.26—