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Graph Classification on EXP (test)

100Accuracy

NGNN

Updated 4d ago

Evaluation Results

Method	Links
NGNN 2023.10		100
GNNAK+ 2023.10		100
SSWL+ 2023.10		100
RNM 2023.10		100
I2GNN 2023.10		100
MAG-GNN 2023.10		100
PPGN 2023.06		100
GNNML3 2023.06		100
MLP-FA 2023.06		100
MLP-PS 2023.06		100
Nested GIN 2021.10		99.9
DeepSets 2023.10		99.8
3-GCN 2021.10		99.7
RNI 2023.10		99.7
3-GCN 2023.10		99.7
Linear model 2023.10		99.1
GCN-RNI 2021.10		98
GCN 2023.10		97.6
ChebNet 2023.06		82
MLP-PS 2023.06		79.5
PPGN 2021.10		50
1-2-3-GNN 2021.10		50
GIN 2023.10		50
GCN 2023.10		50
GIN 2023.10		50
PPGN 2023.10		50
1-2-3-GCN-L 2023.10		50
DeepSets 2023.10		50
GCN 2023.06		50
GAT 2023.06		50
GIN 2023.06		50
MLP-GA 2023.06		50
MLP-Canonical 2023.06		50