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ResearchFormerly WizWand

Graph Classification on PROTEINS TUDataset

90.3AccuracyET
51.50861.57971.6581.721Jan 12, 2022May 30, 2022Oct 15, 2022Mar 2, 2023Jul 18, 2023Dec 3, 2023Apr 20, 2024
Updated 8mo ago

Evaluation results

MethodLinks
ET2023.0290.3
HGP-SL2023.0284.9
U2GNN2023.0280
WKPIMethod Variant=kmeans2023.0278.5
GRANOLAbackbone=GIN2024.0477.5
GINnormalization=GraphNorm2024.0477.4
DSGCN2023.0277.3
GRANOLAvariant=MS, backbone=GIN2024.0477.3
GNN-AK+2024.0477.1
CIN2024.0477
GINnormalization=GraphSizeNorm2024.0477
GINnormalization=DiffGroupNorm2024.0476.9
DS-GNNbackbone=GIN, variant=EGO+2024.0476.7
GINnormalization=PairNorm2024.0476.7
GSN2024.0476.6
GRANOLAvariant=NO-RNF, backbone=GIN2024.0476.6
GINnormalization=InstanceNorm2024.0476.5
SIN2024.0476.4
GINnormalization=RNF-NORM2024.0476.4
GINnormalization=MeanSubtractionNorm2024.0476.4
GINnormalization=BatchNorm2024.0476.2
GINnormalization=LayerNorm-node2024.0476.2
SUNbackbone=GIN, variant=EGO+2024.0476.1
GINnormalization=LayerNorm-graph2024.0476.1
GINnormalization=SuperNorm2024.0476.1
DSS-GNNbackbone=GIN, variant=EGO+2024.0475.9
GWL-WL2023.0275.8
GINnormalization=Identity2024.0475.8
WKPIMethod Variant=kcenters2023.0275.2
RINCE2022.0174.7
JOAO2022.0174.6
GINnormalization=NodeNorm2024.0474.5
InfoGraph2022.0174.4
GraphCL2022.0174.4
InfoNCE*data augmentation=same as RINCE2022.0174.4
ASAP2023.0274.2
JOAOv22022.0174.1
GINnormalization=BatchNorm, positional_encoding=RNF-PE2024.0474.1
DropEdge2024.0473.5
NDP2023.0273.4
graph2vec2022.0173.3
GraphConv + ID-GNN2024.0471.9
node2vec2022.0157.5
sub2vec2022.0153