Node Classification on IMDB
0.6753Macro F1 ScoreRpHGNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| RpHGNNLearning Style=Pre-computation2023.10 | 0.6753 | — | 0.6977 | — | |
| LMSPSmeta-path selection=searched2023.07 | 0.6699 | — | 0.687 | — | |
| ToGRL2026.04 | 0.6688 | — | 0.7015 | — | |
| CaDeM2026.03 | 0.6667 | — | 0.6682 | — | |
| SeHGNNLearning Style=Pre-computation2023.10 | 0.6663 | — | 0.6821 | — | |
| SeHGNN2023.07 | 0.6663 | — | 0.6821 | — | |
| PMMM2023.07 | 0.6581 | — | 0.6758 | — | |
| DMG2026.03 | 0.6565 | — | 0.6566 | — | |
| SpikingHANTr. ratio=60%2025.12 | 0.651 | — | 0.652 | — | |
| HDMI2026.03 | 0.6484 | — | 0.6476 | — | |
| HINormerLearning Style=E2E2023.10 | 0.6465 | — | 0.6783 | — | |
| HINormer2023.07 | 0.6465 | — | 0.6783 | — | |
| PHGTTr. ratio=60%2025.12 | 0.646 | — | 0.65 | — | |
| HetSheafModel Type=Heterogeneous Sheaf2024.09 | 0.6454 | — | 0.6665 | — | |
| HINormerTr. ratio=60%2025.12 | 0.644 | — | 0.648 | — | |
| HANTr. ratio=60%2025.12 | 0.643 | — | 0.646 | — | |
| GraphMAE2026.03 | 0.6417 | — | 0.6417 | — | |
| PHGTTr. ratio=40%2025.12 | 0.641 | — | 0.645 | — | |
| SlotGAT2024.05 | 0.6405 | — | 0.6854 | — | |
| SlotGAT2023.07 | 0.6405 | — | 0.6864 | — | |
| HINormerTr. ratio=40%2025.12 | 0.638 | — | 0.643 | — | |
| SpikingHANTr. ratio=40%2025.12 | 0.637 | — | 0.642 | — | |
| simpleHGN2024.05 | 0.6353 | — | 0.6736 | — | |
| Simple-HGNLearning Style=E2E2023.10 | 0.6353 | — | 0.6736 | — | |
| Simple-HGN2023.07 | 0.6353 | — | 0.6736 | — | |
| NARSLearning Style=Pre-computation2023.10 | 0.6351 | — | 0.6618 | — | |
| NARS2023.07 | 0.6351 | — | 0.6618 | — | |
| HGConvTraining ratio=100%2020.12 | 0.6342 | — | 0.6343 | — | |
| HGConvRatio=100%, learning rate=0.003, dropout=0.42020.12 | 0.6342 | — | 0.6343 | — | |
| DisenHAN2024.05 | 0.634 | — | 0.6748 | — | |
| HGT2024.05 | 0.63 | — | 0.672 | — | |
| HGTLearning Style=E2E2023.10 | 0.63 | — | 0.672 | — | |
| HGT2023.07 | 0.63 | — | 0.672 | — | |
| PHGTTr. ratio=20%2025.12 | 0.63 | — | 0.632 | — | |
| HINormerTr. ratio=20%2025.12 | 0.629 | — | 0.633 | — | |
| HANTr. ratio=40%2025.12 | 0.628 | — | 0.631 | — | |
| VGAE2026.03 | 0.6278 | — | 0.6301 | — | |
| SpikingHANTr. ratio=20%2025.12 | 0.627 | — | 0.629 | — | |
| HANTraining ratio=100%2020.12 | 0.6212 | — | 0.6242 | — | |
| HANRatio=100%, learning rate=0.05, dropout=0.72020.12 | 0.6212 | — | 0.6242 | — | |
| GATTr. ratio=60%2025.12 | 0.621 | — | 0.625 | — | |
| Sheaf-NSDModel Type=Sheaf-based2024.09 | 0.6196 | — | 0.6511 | — | |
| HGConvTraining ratio=80%2020.12 | 0.6183 | — | 0.6193 | — | |
| HGConvRatio=80%, learning rate=0.005, dropout=0.42020.12 | 0.6183 | — | 0.6193 | — | |
| GATTr. ratio=40%2025.12 | 0.617 | — | 0.619 | — | |
| HGTTraining ratio=100%2020.12 | 0.6159 | — | 0.6163 | — | |
| HGTRatio=100%, learning rate=0.001, dropout=0.22020.12 | 0.6159 | — | 0.6163 | — | |
| space4HGNN2024.05 | 0.6157 | — | 0.6396 | — | |
| space4HGNN2023.07 | 0.6157 | — | 0.6396 | — | |
| RGCNTraining ratio=100%2020.12 | 0.613 | — | 0.6147 | — | |
| RGCNRatio=100%, learning rate=0.005, dropout=0.52020.12 | 0.613 | — | 0.6147 | — | |
| DAGNNTr. ratio=40%2025.12 | 0.613 | — | 0.617 | — | |
| DAGNNTr. ratio=60%2025.12 | 0.612 | — | 0.619 | — | |
| HANTr. ratio=20%2025.12 | 0.611 | — | 0.613 | — | |
| MVGRL2026.03 | 0.6094 | — | 0.6101 | — | |
| HANTraining ratio=80%2020.12 | 0.6092 | — | 0.6129 | — | |
| HANRatio=80%, learning rate=0.05, dropout=0.82020.12 | 0.6092 | — | 0.6129 | — | |
| SAGEModel Type=Homogeneous2024.09 | 0.6064 | — | 0.6377 | — | |
| GTN2024.05 | 0.6047 | — | 0.6514 | — | |
| GTNLearning Style=E2E2023.10 | 0.6047 | — | 0.6514 | — | |
| GTN2023.07 | 0.6047 | — | 0.6514 | — | |
| GATModel Type=Homogeneous2024.09 | 0.6025 | — | 0.6403 | — | |
| GINModel Type=Homogeneous2024.09 | 0.6022 | — | 0.6391 | — | |
| SpikeGCLTr. ratio=60%2025.12 | 0.602 | — | 0.605 | — | |
| HGTTraining ratio=80%2020.12 | 0.6018 | — | 0.602 | — | |
| HGTRatio=80%, learning rate=0.01, dropout=0.22020.12 | 0.6018 | — | 0.602 | — | |
| HGConvTraining ratio=60%2020.12 | 0.6006 | — | 0.6017 | — | |
| HGConvRatio=60%, learning rate=0.001, dropout=0.52020.12 | 0.6006 | — | 0.6017 | — | |
| RSHN2024.05 | 0.5985 | — | 0.6422 | — | |
| RSHNLearning Style=E2E2023.10 | 0.5985 | — | 0.6422 | — | |
| RSHN2023.07 | 0.5985 | — | 0.6422 | — | |
| R-GCNModel Type=Heterogeneous2024.09 | 0.5968 | — | 0.6237 | — | |
| RGCNTraining ratio=80%2020.12 | 0.5939 | — | 0.5952 | — | |
| RGCNRatio=80%, learning rate=0.01, dropout=0.62020.12 | 0.5939 | — | 0.5952 | — | |
| HANTraining ratio=60%2020.12 | 0.5912 | — | 0.5968 | — | |
| HANRatio=60%, learning rate=0.001, dropout=0.72020.12 | 0.5912 | — | 0.5968 | — | |
| DAGNNTr. ratio=20%2025.12 | 0.591 | — | 0.594 | — | |
| GAT2024.05 | 0.5894 | — | 0.6486 | — | |
| GATLearning Style=E2E2023.10 | 0.5894 | — | 0.6486 | — | |
| GAT2023.07 | 0.5894 | — | 0.6486 | — | |
| RGCN2024.05 | 0.5885 | — | 0.6205 | — | |
| RGCNLearning Style=E2E2023.10 | 0.5885 | — | 0.6205 | — | |
| RGCN2023.07 | 0.5885 | — | 0.6205 | — | |
| GCNTraining ratio=100%2020.12 | 0.5845 | — | 0.5888 | — | |
| GCNRatio=100%, learning rate=0.05, dropout=0.32020.12 | 0.5845 | — | 0.5888 | — | |
| GraphSAGELearning Style=E2E2023.10 | 0.5836 | — | 0.6192 | — | |
| GATTr. ratio=20%2025.12 | 0.583 | — | 0.585 | — | |
| GCNModel Type=Homogeneous2024.09 | 0.5827 | — | 0.6092 | — | |
| RGCNTraining ratio=60%2020.12 | 0.5823 | — | 0.585 | — | |
| RGCNRatio=60%, learning rate=0.03, dropout=0.52020.12 | 0.5823 | — | 0.585 | — | |
| SpikeGCLTr. ratio=40%2025.12 | 0.582 | — | 0.586 | — | |
| DiffMG2023.07 | 0.5809 | — | 0.5975 | — | |
| GATTraining ratio=100%2020.12 | 0.5798 | — | 0.5837 | — | |
| GATRatio=100%, learning rate=0.003, dropout=0.82020.12 | 0.5798 | — | 0.5837 | — | |
| SLAPS2026.04 | 0.5789 | — | 0.6135 | — | |
| GCN2024.05 | 0.5788 | — | 0.6482 | — | |
| GCNLearning Style=E2E2023.10 | 0.5788 | — | 0.6482 | — | |
| GCN2023.07 | 0.5788 | — | 0.6482 | — | |
| HGTTraining ratio=60%2020.12 | 0.5781 | — | 0.5792 | — | |
| HGTRatio=60%, learning rate=0.001, dropout=0.52020.12 | 0.5781 | — | 0.5792 | — |