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Graph Classification on RE-M5k

57.59AccuracyGFN
18.496428.645738.79548.9443May 17, 2016Nov 23, 2016Jun 2, 2017Dec 9, 2017Jun 18, 2018Dec 25, 2018Jul 4, 2019

Evaluation results

MethodLinks
GFN2019.0557.59
SUM-MLP (GIN-0)Aggregation=SUM, Architecture=MLP2018.1057.5
GIN2019.0557.5
GIN2019.0757.5
GAT-GCvariant=f-Scaled2019.0757.22
GFN-light2019.0557.11
SUM-MLP (GIN-ε)Aggregation=SUM, Architecture=MLP2018.1057
GCN2019.0556.81
RetGK_I2019.0556.1
RetGK_II2019.0555.3
SUM-1-LAYERAggregation=SUM, Architecture=1-layer2018.1055.1
AWEAlgorithm Grouping=FB2018.0554.74
GLN2019.0552.97
CapsGNN2019.0552.88
CapsGNN2019.0752.88
WL subtree2018.1052.5
SAEN2018.1152.24
GIC2018.1151.58
FB2018.1150.83
AWEAlgorithm Grouping=DD2018.0550.46
AWE2019.0550.46
DYF2018.1150.31
WLAlgorithm Grouping=FB2018.0549.44
WL2019.0549.44
WL2019.0749.44
PSCNk=102016.0549.1
PSCNAlgorithm Grouping=DD2018.0549.1
PSCN2018.1149.1
PATCHYSAN2018.1049.1
PSCN2019.0549.1
PSCN2019.0749.1
DGCNN2019.0548.7
DGCNN2019.0748.7
DGK2016.0541.27
DGKAlgorithm Grouping=DD2018.0541.27
DGK2018.1141.27
DGK2019.0541.27
GK2016.0541.01
GKAlgorithm Grouping=FB2018.0541.01
GK2018.1141.01
MEAN-MLPAggregation=MEAN, Architecture=MLP2018.1020
MEAN-1-LAYER (GCN)Aggregation=MEAN, Architecture=1-layer2018.1020