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ResearchFormerly WizWand

Graph Classification on PTC FR

68.9AccuracyEGIN-C-ϵ
58.08460.89263.766.508Apr 18, 2019May 25, 2020Jul 3, 2021Aug 11, 2022Sep 18, 2023Oct 26, 2024Dec 4, 2025
Updated 8mo ago

Evaluation results

MethodLinks
EGIN-C-ϵevaluation protocol=10-fold cross-validation, epsilon parameter=retained2025.1268.9
Space OptimumRefinement budget=1002025.0768.57
edGNNvalidation=10-fold cross validation, aggregation=max2019.0468
EGIN-Cevaluation protocol=10-fold cross-validation, epsilon parameter=without2025.1267.6
EGCNevaluation protocol=10-fold cross-validation2025.1267.5
AutoTransferRefinement budget=1002025.0767.14
DesiGNNRefinement budget=1002025.0767.14
M-DESIGNRefinement budget=1002025.0767.14
GATevaluation protocol=10-fold cross-validation2025.1267.1
RandomRefinement budget=1002025.0766.71
EGIN-ϵevaluation protocol=10-fold cross-validation, epsilon parameter=retained2025.1266.5
EGIN-E-ϵevaluation protocol=10-fold cross-validation, epsilon parameter=retained2025.1266.5
GraphNASRefinement budget=1002025.0766.47
EGIN-Eevaluation protocol=10-fold cross-validation, epsilon parameter=without2025.1266.2
RLRefinement budget=1002025.0766.1
EGINevaluation protocol=10-fold cross-validation, epsilon parameter=without2025.1266
R-GCNvalidation=10-fold cross validation2019.0465.8
EARefinement budget=1002025.0765.76
WLSPvalidation=10-fold cross validation2019.0465.7
edGNNvalidation=10-fold cross validation, aggregation=avg2019.0465.7
CSMvalidation=10-fold cross validation2019.0465.5
Auto-GNNRefinement budget=1002025.0765.05
NAS-Bench-GraphRefinement budget=1002025.0763.34
GINevaluation protocol=10-fold cross-validation2025.1261.8
GraphGymRefinement budget=1002025.0759.05
DGCNNevaluation protocol=10-fold cross-validation2025.1258.5