Node Classification on ACM HGB (test)
94.35Macro F1PSHGCN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| PSHGCN2023.05 | 94.35 | 94.27 | |
| SeHGNNMethod Category=Proposed Method (3rd block)2022.07 | 94.05 | 93.98 | |
| SeHGNN2023.05 | 94.05 | 93.98 | |
| SeHGNN Variant#3Method Category=Ablation Study (4th block), Component=No labels as extra inputs2022.07 | 93.95 | 93.87 | |
| SeHGNN Variant#4Method Category=Ablation Study (4th block), Component=Weighted sum fusion2022.07 | 93.88 | 93.8 | |
| SeHGNN Variant#2Method Category=Ablation Study (4th block), Component=Two-layer structure2022.07 | 93.46 | 93.38 | |
| HGBMethod Category=Metapath-free (2nd block)2022.07 | 93.42 | 93.35 | |
| SimpleHGN2023.05 | 93.42 | 93.35 | |
| SeHGNN Variant#1Method Category=Ablation Study (4th block), Component=GAT neighbor aggregation2022.07 | 93.06 | 92.98 | |
| HALO2023.05 | 93.05 | 92.96 | |
| EMRGNN2023.05 | 92.93 | 93.85 | |
| ChebNetII2023.05 | 92.45 | 92.33 | |
| GPRGNN2023.05 | 92.36 | 92.28 | |
| GAT2023.05 | 92.26 | 92.19 | |
| GCN2023.05 | 92.17 | 92.12 | |
| MHGCN2023.05 | 92.12 | 91.97 | |
| RGCNMethod Category=Metapath-based (1st block)2022.07 | 91.55 | 91.41 | |
| RGCN2023.05 | 91.55 | 91.41 | |
| GTN2023.05 | 91.31 | 91.2 | |
| HGTMethod Category=Metapath-free (2nd block)2022.07 | 91.12 | 91 | |
| HANMethod Category=Metapath-based (1st block)2022.07 | 90.89 | 90.79 | |
| HAN2023.05 | 90.89 | 90.79 | |
| MAGNNMethod Category=Metapath-based (1st block)2022.07 | 90.88 | 90.77 | |
| MAGNN2023.05 | 90.88 | 90.77 | |
| RSHNMethod Category=Metapath-free (2nd block)2022.07 | 90.5 | 90.32 | |
| HetSANNMethod Category=Metapath-free (2nd block)2022.07 | 90.02 | 89.91 | |
| HetGNNMethod Category=Metapath-based (1st block)2022.07 | 85.91 | 86.05 |