Node Classification on IEEE-CIS-G
89.92Accuracy/F1 ScoreHGUL
Evaluation results
| Method | Links | |
|---|---|---|
| HGULGraph Learning Type=Heterogeneous, Heterophily Awareness=Yes2026.04 | 89.92 | |
| R-GCNGraph Learning Type=Heterogeneous, Heterophily Awareness=No2026.04 | 87 | |
| R-GraphSAGEGraph Learning Type=Heterogeneous, Heterophily Awareness=No2026.04 | 86.81 | |
| GATGraph Learning Type=Homogeneous, Heterophily Awareness=No2026.04 | 86.71 | |
| H2G-formerGraph Learning Type=Heterogeneous, Heterophily Awareness=Yes2026.04 | 86.52 | |
| HGTGraph Learning Type=Heterogeneous, Heterophily Awareness=No2026.04 | 86.05 | |
| GCNGraph Learning Type=Homogeneous, Heterophily Awareness=No2026.04 | 85.81 | |
| NAGphormerGraph Learning Type=Homogeneous, Heterophily Awareness=No2026.04 | 85.46 | |
| MixHopGraph Learning Type=Homogeneous, Heterophily Awareness=Yes2026.04 | 85.43 | |
| Hetero2NetGraph Learning Type=Heterogeneous, Heterophily Awareness=Yes2026.04 | 85.06 | |
| GraphSAGEGraph Learning Type=Homogeneous, Heterophily Awareness=No2026.04 | 85.02 | |
| HDHGRGraph Learning Type=Heterogeneous, Heterophily Awareness=Yes2026.04 | 84.79 | |
| GINGraph Learning Type=Homogeneous, Heterophily Awareness=No2026.04 | 84.22 | |
| APPNPGraph Learning Type=Homogeneous, Heterophily Awareness=No2026.04 | 82.95 | |
| LatGRLGraph Learning Type=Heterogeneous, Heterophily Awareness=Yes2026.04 | 82.57 | |
| R-GATGraph Learning Type=Heterogeneous, Heterophily Awareness=No2026.04 | 80.37 | |
| Simple-HGNGraph Learning Type=Heterogeneous, Heterophily Awareness=No2026.04 | 79.67 | |
| HANGraph Learning Type=Heterogeneous, Heterophily Awareness=No2026.04 | 78.56 |