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ResearchFormerly WizWand

Graph Classification on PTC FM

70.53AccuracySpace Optimum
46.412452.673758.93565.1963Oct 4, 2018Jan 7, 2020Apr 12, 2021Jul 17, 2022Oct 20, 2023Jan 23, 2025Apr 29, 2026
Updated 6mo ago

Evaluation results

MethodLinks
Space OptimumRefinement budget=1002025.0770.53
M-DESIGNRefinement budget=1002025.0770.53
RLRefinement budget=1002025.0769.18
DesiGNNRefinement budget=1002025.0769.09
RandomRefinement budget=1002025.0769.04
CH-CL2026.0468.9
EARefinement budget=1002025.0768.75
GraphNASRefinement budget=1002025.0768.7
GMCL2026.0468.47
Auto-GNNRefinement budget=1002025.0768.12
AutoTransferRefinement budget=1002025.0767.15
TopoGCL2026.0467.11
GCL-SPAN2026.0466.67
GraphCL2026.0465.26
GraphGymRefinement budget=1002025.0765.22
AD-GCL2026.0464.99
2-WLMethod category=Kernel2018.1064.7
CI-GCL2026.0464.53
RGCL2026.0464.29
CSMvalidation=10-fold cross validation2019.0463.8
WL2022.0563.7
AutoGCL2026.0463.62
NCWalpha=1000, beta=02022.0563.4
EGIN-E-epsilonepsilon parameter=retained, validation=10-fold cross-validation2025.1263.4
EGIN-epsilonepsilon parameter=retained, validation=10-fold cross-validation2025.1263.1
1-WLMethod category=Kernel2018.1062.9
EGIN-C-epsilonepsilon parameter=retained, validation=10-fold cross-validation2025.1262.9
1-2-3-GNNTuning status=Tuned, Method category=GNN2018.1062.8
WL-OAMethod category=Kernel2018.1062.7
1-WLType=Baseline2019.0462.6
δ-2-LWL+Type=Local Kernel2019.0462.6
EGIN-Cepsilon parameter=not retained, validation=10-fold cross-validation2025.1262.6
EGINepsilon parameter=not retained, validation=10-fold cross-validation2025.1262.4
2-WLType=Global Kernel2019.0462.3
NCWWL2022.0562.3
edGNNvalidation=10-fold cross validation, aggregation=max2019.0462.2
SHORTEST-PATHMethod category=Kernel2018.1062.1
EGIN-Eepsilon parameter=not retained, validation=10-fold cross-validation2025.1262.1
δ-2-WLType=Global Kernel2019.0461.9
WLOAType=Baseline2019.0461.8
InfoGraph2026.0461.55
3-WLType=Global Kernel2019.0461.5
3-WLMethod category=Kernel2018.1061.5
GRType=Baseline2019.0461.3
SPType=Baseline2019.0461.3
δ-3-LWLType=Local Kernel2019.0461.3
δ-3-LWL+Type=Local Kernel2019.0461.3
δ-3-WLType=Global Kernel2019.0461.2
R-GCNvalidation=10-fold cross validation2019.0460.7
WLSPvalidation=10-fold cross validation2019.0460.4
SP2022.0560.4
δ-2-LWLType=Local Kernel2019.0460.3
1-2-3-GNNTuning status=No Tuning, Method category=GNN2018.1060
JOAO2026.0459.98
edGNNvalidation=10-fold cross validation, aggregation=avg2019.0459.8
1-GNNTuning status=Tuned, Method category=GNN2018.1059.3
EGCNvalidation=10-fold cross-validation2025.1259.1
1-GNNTuning status=No Tuning, Method category=GNN2018.1059
GATvalidation=10-fold cross-validation2025.1259
GRAPHLETMethod category=Kernel2018.1058.3
Gin-0Type=Neural2019.0458.2
VL2022.0558
GL32022.0557.9
EL2022.0557.8
GH2022.0557.8
Gin-εType=Neural2019.0457.7
RW2022.0557.3
GINvalidation=10-fold cross-validation2025.1255.2
DGCNNvalidation=10-fold cross-validation2025.1254.1
NAS-Bench-GraphRefinement budget=1002025.0747.34