Graph Classification on EXP (test) benchmark leaderboard · SOTA2 Research

Graph Classification on EXP (test)

100AccuracyNGNN

Evaluation Results

Method	Links
NGNN2023.10		100
GNNAK+2023.10		100
SSWL+2023.10		100
RNM2023.10		100
I2GNN2023.10		100
MAG-GNN2023.10		100
PPGN2023.06		100
GNNML32023.06		100
MLP-FA2023.06		100
MLP-PS2023.06		100
Nested GIN2021.10		99.9
DeepSets2023.10		99.8
3-GCN2021.10		99.7
RNI2023.10		99.7
3-GCN2023.10		99.7
Linear model2023.10		99.1
GCN-RNI2021.10		98
GCN2023.10		97.6
ChebNet2023.06		82
MLP-PS2023.06		79.5
PPGN2021.10		50
1-2-3-GNN2021.10		50
GIN2023.10		50
GCN2023.10		50
GIN2023.10		50
PPGN2023.10		50
1-2-3-GCN-L2023.10		50
DeepSets2023.10		50
GCN2023.06		50
GAT2023.06		50
GIN2023.06		50
MLP-GA2023.06		50
MLP-Canonical2023.06		50