Node Classification on IMDB (test)
66.71Macro F1 ScoreHeterSEED
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| HeterSEEDModel Category=Heterophily-aware Heterogeneous Model, Seeds=52026.05 | 66.71 | 70.6 | — | — | — | |
| TG-TreeXGNNFramework=THeGAU, Backbone=TreeXGNN2025.12 | 65.85 | 69.64 | — | — | — | |
| TG-SimpleHGNFramework=THeGAU, Backbone=SimpleHGN2025.12 | 65.69 | 68.01 | — | — | — | |
| ACM-GCNModel Category=Homogeneous Model with Heterophily, Seeds=52026.05 | 65.44 | 68.71 | — | — | — | |
| HETERO2NETModel Category=Heterophily-aware Heterogeneous Model, Seeds=52026.05 | 65.33 | 69.03 | — | — | — | |
| TreeXGNN2025.12 | 64.9 | 68.94 | — | — | — | |
| TG-SlotGATFramework=THeGAU, Backbone=SlotGAT2025.12 | 64.57 | 68.69 | — | — | — | |
| HINormerModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 64.11 | 67.71 | — | — | — | |
| TG-HGTFramework=THeGAU, Backbone=HGT2025.12 | 63.92 | 67.91 | — | — | — | |
| FAGCNModel Category=Homogeneous Model with Heterophily, Seeds=52026.05 | 63.68 | 67.49 | — | — | — | |
| Simple-HGN2021.12 | 63.53 | 67.36 | — | — | — | |
| SHGNModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 63.53 | 67.36 | — | — | — | |
| SimpleHGN2025.12 | 63.5 | 66.31 | — | — | — | |
| SlotGAT2025.12 | 63.45 | 68.43 | — | — | — | |
| DisenHAN2025.12 | 63.4 | 67.48 | — | — | — | |
| HGTModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 63.07 | 67.2 | — | — | — | |
| HGT2021.12 | 63 | 67.2 | — | — | — | |
| HGT2025.12 | 62.7 | 65.34 | — | — | — | |
| RGCNModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 61.26 | 65.21 | — | — | — | |
| GTN2021.12 | 60.47 | 65.14 | — | — | — | |
| GTN2025.12 | 60.47 | 65.14 | — | — | — | |
| GRAINModel Category=Homogeneous Model with Heterophily, Seeds=52026.05 | 59.93 | 63.28 | — | — | — | |
| RSHN2021.12 | 59.85 | 64.22 | — | — | — | |
| RSHN2025.12 | 59.85 | 64.22 | — | — | — | |
| LINKXModel Category=Homogeneous Model with Heterophily, Seeds=52026.05 | 58.98 | 62.03 | — | — | — | |
| GAT2021.12 | 58.94 | 64.86 | — | — | — | |
| GATModel Category=Vanilla Model, Seeds=52026.05 | 58.94 | 64.86 | — | — | — | |
| RGCN2021.12 | 58.85 | 62.05 | — | — | — | |
| DiffGraphModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 58.84 | 63.61 | — | — | — | |
| GCN2021.12 | 57.88 | 64.82 | — | — | — | |
| GCNModel Category=Vanilla Model, Seeds=52026.05 | 57.88 | 64.82 | — | — | — | |
| RGATModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 57.85 | 62.79 | — | — | — | |
| HAN2021.12 | 57.74 | 64.63 | — | — | — | |
| HAN2025.12 | 57.74 | 64.63 | — | — | — | |
| HANModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 57.74 | 64.63 | — | — | — | |
| MLPModel Category=Vanilla Model, Seeds=52026.05 | 57.01 | 61.65 | — | — | — | |
| MAGNN2021.12 | 56.49 | 64.67 | — | — | — | |
| MAGNN2025.12 | 56.49 | 64.67 | — | — | — | |
| HANTraining ratio=80%2019.03 | 54.38 | 58.51 | — | — | — | |
| HANTraining ratio=60%2019.03 | 54.24 | 58.32 | — | — | — | |
| GATTraining ratio=80%2019.03 | 52.99 | 56.97 | — | — | — | |
| HANTraining ratio=40%2019.03 | 52.71 | 57.97 | — | — | — | |
| HANndTraining ratio=80%2019.03 | 52.66 | 56.38 | — | — | — | |
| HANndTraining ratio=40%2019.03 | 52.11 | 56.39 | — | — | — | |
| HANsemTraining ratio=60%2019.03 | 52.09 | 56.66 | — | — | — | |
| GATTraining ratio=60%2019.03 | 51.9 | 56.44 | — | — | — | |
| GCNTraining ratio=80%2019.03 | 51.81 | 54.61 | — | — | — | |
| HANndTraining ratio=60%2019.03 | 51.73 | 56.09 | — | — | — | |
| HANsemTraining ratio=80%2019.03 | 51.6 | 56.49 | — | — | — | |
| HANsemTraining ratio=20%2019.03 | 50.87 | 55.01 | — | — | — | |
| HANsemTraining ratio=40%2019.03 | 50.85 | 55.15 | — | — | — | |
| GATTraining ratio=40%2019.03 | 50.64 | 55.91 | — | — | — | |
| DeepWalkTraining ratio=80%2019.03 | 50.35 | 54.33 | — | — | — | |
| HANTraining ratio=20%2019.03 | 50 | 55.73 | — | — | — | |
| HANndTraining ratio=20%2019.03 | 49.78 | 54.17 | — | — | — | |
| HetSANN2021.12 | 49.47 | 57.68 | — | — | — | |
| HetSANN2025.12 | 49.47 | 57.68 | — | — | — | |
| GATTraining ratio=20%2019.03 | 49.44 | 55.28 | — | — | — | |
| GCNTraining ratio=60%2019.03 | 49.15 | 52.29 | — | — | — | |
| HetGNN2021.12 | 48.25 | 51.16 | — | — | — | |
| HetGNN2025.12 | 48.25 | 51.16 | — | — | — | |
| DeepWalkTraining ratio=60%2019.03 | 48.13 | 52.21 | — | — | — | |
| GCNTraining ratio=40%2019.03 | 48.01 | 51.71 | — | — | — | |
| HERecTraining ratio=80%2019.03 | 47.64 | 50.99 | — | — | — | |
| HERecTraining ratio=60%2019.03 | 46.27 | 49.88 | — | — | — | |
| HTADGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 45.96 | 47.1 | 0.133 | 0.0695 | — | |
| GCNTraining ratio=20%2019.03 | 45.73 | 49.78 | — | — | — | |
| DeepWalkTraining ratio=40%2019.03 | 45.19 | 49.99 | — | — | — | |
| metapath2vecTraining ratio=80%2019.03 | 45.15 | 48.81 | — | — | — | |
| metapath2vecTraining ratio=60%2019.03 | 45.11 | 49.09 | — | — | — | |
| HGCLGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 44.61 | 46.27 | 0.139 | 0.0756 | — | |
| HeCoGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 44.39 | 46.19 | 0.138 | 0.0742 | — | |
| metapath2vecTraining ratio=40%2019.03 | 44.22 | 48.24 | — | — | — | |
| MEOWGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 44.05 | 45.48 | 0.139 | 0.074 | — | |
| HERecTraining ratio=40%2019.03 | 43.86 | 47.59 | — | — | — | |
| GRACEGCL Type=general, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 43.83 | 45.35 | 0.142 | 0.091 | — | |
| HANGCL Type=None, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 43.56 | 44.86 | 0.139 | 0.088 | — | |
| GCAGCL Type=general, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 43.43 | 45.15 | 0.145 | 0.092 | — | |
| STENCILGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 43.38 | 44.91 | 0.144 | 0.0918 | — | |
| HERecTraining ratio=20%2019.03 | 41.65 | 45.81 | — | — | — | |
| metapath2vecTraining ratio=20%2019.03 | 41.16 | 45.65 | — | — | — | |
| DeepWalkTraining ratio=20%2019.03 | 40.72 | 46.38 | — | — | — | |
| ESimTraining ratio=20%2019.03 | 32.1 | 35.28 | — | — | — | |
| ESimTraining ratio=80%2019.03 | 32.06 | 35.59 | — | — | — | |
| ESimTraining ratio=40%2019.03 | 31.94 | 35.47 | — | — | — | |
| ESimTraining ratio=60%2019.03 | 31.68 | 35.64 | — | — | — | |
| Coarsening-HGRatio (r)=1.2%, Backbone=SeHGNN2026.07 | — | — | — | — | 41.26 | |
| Coarsening-HGRatio (r)=2.4%, Backbone=SeHGNN2026.07 | — | — | — | — | 44.72 | |
| Coarsening-HGRatio (r)=4.8%, Backbone=SeHGNN2026.07 | — | — | — | — | 49.97 | |
| Coarsening-HGRatio (r)=9.6%, Backbone=SeHGNN2026.07 | — | — | — | — | 49.87 | |
| GCondRatio (r)=1.2%, Backbone=SeHGNN2026.07 | — | — | — | — | 42.12 | |
| GCondRatio (r)=2.4%, Backbone=SeHGNN2026.07 | — | — | — | — | 38.54 | |
| GCondRatio (r)=4.8%, Backbone=SeHGNN2026.07 | — | — | — | — | 32.75 | |
| GCondRatio (r)=9.6%, Backbone=SeHGNN2026.07 | — | — | — | — | 40.56 | |
| GCPARatio (r)=1.2%, Backbone=SeHGNN2026.07 | — | — | — | — | 34.52 | |
| GCPARatio (r)=2.4%, Backbone=SeHGNN2026.07 | — | — | — | — | 34.56 | |
| GCPARatio (r)=4.8%, Backbone=SeHGNN2026.07 | — | — | — | — | 34.5 | |
| GCPARatio (r)=9.6%, Backbone=SeHGNN2026.07 | — | — | — | — | 34.59 | |
| HGC-RCRatio (r)=1.2%, Backbone=SeHGNN2026.07 | — | — | — | — | 60.14 | |
| HGC-RCRatio (r)=2.4%, Backbone=SeHGNN2026.07 | — | — | — | — | 62.81 |