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Node Classification on ogbn-proteins (test)

0.8917ROC-AUCGIPA
0.597380.673790.75020.82661Dec 30, 2020Aug 20, 2021Apr 10, 2022Nov 29, 2022Jul 20, 2023Mar 9, 2024Oct 29, 2024

Evaluation results

MethodLinks
GIPANumber of layers=62023.010.8917
GIPANumber of layers=32023.010.8877
AGDNParams=8.61M2020.120.8865
AGDN2023.010.8865
AGDN2023.120.8865
RevGNN-WideMem=7.91, Params=68.47M2021.060.8824
RevGNN-wideParams=68.47M2020.120.8824
RevGNN-wideArchitecture variant=wide2023.010.8824
RevGNN-DeepMem=2.86, Params=20.03M2021.060.8774
RevGNN-deepParams=20.03M2020.120.8774
RevGNN-deepArchitecture variant=deep2023.010.8774
GAT+BOTParams=2.48M2020.120.8765
GAT+BoTAugmentation=BoT2023.010.8765
GIPA2021.050.87
UniMP+CEFMem=27.2, Params=1.96M2021.060.8691
UniMP+CrossEdgeFeatfeature_enhancement=CrossEdgeFeat2021.050.8691
GATMem=6.74, Params=2.48M2021.060.8682
GAT2023.010.8682
GAT2021.050.8682
UniMPMem=27.2, Params=1.91M2021.060.8642
UniMPParams=1.91M2020.120.8642
UniMP2023.010.8642
UniMP2021.050.8642
DeeperGCNMem=27.1, Params=2.37M2021.060.8616
DeeperGCNParams=2.37M2020.120.858
DeeperGCN2023.010.858
DeeperGCN2023.120.858
GraphGPT-BModel Size=Base2023.120.8533
GAT2023.120.8501
DeeperGCN2021.050.8496
GraphGPT-MModel Size=Medium2023.120.8402
SMPNN + AttentionAugmentation=Linear global attention2024.100.8365
GraphGPT-SModel Size=Small2023.120.8356
SMPNN2024.100.8315
GraphSAGE2023.120.8221
SGFormer2023.120.7992
Polynormer2023.120.7953
SGFormer2024.100.7953
DIFFormer2024.100.7949
GOAT2023.120.7931
NodeFormer2023.120.7786
GraphSAGEMem=3.12, Params=193k2021.060.7768
GraphSAGEParams=0.19M2020.120.7768
GraphSAGE2023.010.7768
GraphSAGE2021.050.7768
Exphormer2023.120.7762
NodeFormer2024.100.7745
GCN2023.120.7729
GraphGPS2023.120.7715
GAT-NSampler2024.100.7463
GCN-NSampler2024.100.7351
GCNMem=4.68, Params=96.9k2021.060.7251
GCNParams=0.10M2020.120.7251
GCN2023.010.7251
GCN2021.050.7251
GCN2024.100.7251
NAGphormer2023.120.7217
MLP2021.050.7204
MLP2024.100.7204
SIGN2024.100.7124
SGC2024.100.7031
Linear Transformer2024.100.6087