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ResearchFormerly WizWand

Node Classification on OGB-MAG (test)

79.56AccuracyRpHGNN+LP+CR+LINE
23.545638.087852.6367.1722Nov 19, 2020Jul 14, 2021Mar 9, 2022Nov 1, 2022Jun 27, 2023Feb 19, 2024Oct 14, 2024
Updated 5mo ago

Evaluation results

MethodLinks
RpHGNN+LP+CR+LINELTS=true2024.0279.56
LMSPSLabel Propagation (LP)=true, Multi-Scale (MS)=true2023.0757.84
RpHGNN+LP+CR+LINELTS=false2024.0257.73
RpHGNNLabel Propagation (LP)=true, Consistency Regularization (CR)=true, Pre-trained Embeddings (Emb)=true2023.1057.73
SeHGNN+ComplExLTS=true2024.0257.59
PSHGCNextra embeddings and multi-stage training=true2023.0557.52
SeHGNN+ComplExLTS=false2024.0257.19
SeHGNNextra embeddings and multi-stage training=true2023.0557.19
SeHGNNLabel Propagation (LP)=true, Multi-Stage Training (MS)=true, Pre-trained Embeddings (Emb)=true2023.1057.19
SeHGNNLabel Propagation (LP)=true, Multi-Scale (MS)=true, Embeddings (Emb)=true2023.0757.19
SeHGNNLabel Propagation (LP)=true, Multi-Stage Training (MS)=true2023.1056.71
SeHGNNLabel Propagation (LP)=true, Multi-Scale (MS)=true2023.0756.71
NARS-GAMLPLabel Propagation (LP)=true, Reliable Data Distillation (RLU)=true, Consistency Regularization (CR)=true, Pre-trained Embeddings (Emb)=true2023.1056.31
GAMLPextra embeddings and multi-stage training=true2023.0555.9
LMSPSLabel Propagation (LP)=true2023.0755.1
LMSPSmeta-path selection=searched2023.0754.83
PSHGCNextra embeddings and multi-stage training=false2023.0554.57
SAGNextra embeddings and multi-stage training=true2023.0554.4
NARS-GAMLPAttention Type=JK attention2022.0654.01
SeHGNNextra embeddings and multi-stage training=false2023.0553.99
SeHGNNLabel Propagation (LP)=true2023.0753.99
NARS2022.0652.4
NARS2020.1152.1
R-HGNN2022.0652.04
GAMLPextra embeddings and multi-stage training=false2023.0551.63
GAMLPLabel Propagation (LP)=true2023.0751.63
SeHGNN2023.0751.45
SAGNextra embeddings and multi-stage training=false2023.0551.17
SAGNLabel Propagation (LP)=true2023.0751.17
NARSextra embeddings and multi-stage training=false2023.0550.88
NARS2023.0750.66
Simple-HGN2023.0750.51
HGConv2022.0650.45
R-GSN2022.0650.32
R-GCN2020.1150
HGT2020.1149.8
HGT2022.0649.27
HGTextra embeddings and multi-stage training=false2023.0549.27
SIGN2020.1148.1
RGCNextra embeddings and multi-stage training=false2023.0547.37
RGCN2023.0747.37
R-EGCBatching=Full Batch2021.0447.21
GraphSAGE2023.0746.78
R-GCNBatching=Full Batch2021.0446.29
SIGN2022.0640.46
R-GCN2022.0639.77
LMSPSmeta-path selection=random2023.0735.14
GCNLTS=true2024.0235.01
GCNLTS=false2024.0234.06
EGCAggregator=Mean2021.0433.22
lrGAE 7Method Category=Structure-based2024.1032.9
MaskGAEMethod Category=Structure-based2024.1032.8
GraphMAE2Method Category=Feature-based2024.1032.7
lrGAE 6Method Category=Structure-based2024.1032.7
GraphMAEMethod Category=Feature-based2024.1032.2
lrGAE 8Method Category=Structure-based2024.1032.2
EGC-S2021.0432.13
CCA-SSGMethod Category=Standard GCL2024.1031.8
GGDMethod Category=Standard GCL2024.1031.7
S2GAEMethod Category=Structure-based2024.1031.7
GraphSAGE-MeanAggregator=Mean2021.0431.53
GRACEMethod Category=Standard GCL2024.1031.5
DGIMethod Category=Standard GCL2024.1031.4
BGRLMethod Category=Standard GCL2024.1031.1
S3GCLMethod Category=Standard GCL2024.1030.9
GCN2021.0430.43
GAEMethod Category=Structure-based2024.1030.1
MLP2021.0426.92
MLP2023.0726.92
GAEfMethod Category=Feature-based2024.1025.7