Node Classification on DBLP (test)
94.79Macro-F1TG-SlotGAT
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| TG-SlotGATFramework=THeGAU, Backbone=SlotGAT2025.12 | 94.79 | 95.18 | — | — | — | — | — | |
| SlotGAT2025.12 | 94.69 | 95.07 | — | — | — | — | — | |
| TG-TreeXGNNFramework=THeGAU, Backbone=TreeXGNN2025.12 | 94.63 | 95.02 | — | — | — | — | — | |
| HeterSEEDModel Category=Heterophily-aware Heterogeneous Model, Seeds=52026.05 | 94.48 | 94.87 | — | — | — | — | — | |
| TG-SimpleHGNFramework=THeGAU, Backbone=SimpleHGN2025.12 | 94.42 | 94.87 | — | — | — | — | — | |
| TreeXGNN2025.12 | 94.14 | 94.59 | — | — | — | — | — | |
| Simple-HGN2021.12 | 94.01 | 94.46 | — | — | — | — | — | |
| SHGNModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 94.01 | 94.2 | — | — | — | — | — | |
| HETERO2NETModel Category=Heterophily-aware Heterogeneous Model, Seeds=52026.05 | 93.92 | 94.36 | — | — | — | — | — | |
| HINormerModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 93.9 | 94.25 | — | — | — | — | — | |
| GAT2021.12 | 93.83 | 93.39 | — | — | — | — | — | |
| DisenHAN2025.12 | 93.66 | 94.18 | — | — | — | — | — | |
| GTN2021.12 | 93.52 | 93.97 | — | — | — | — | — | |
| GTN2025.12 | 93.52 | 93.97 | — | — | — | — | — | |
| SimpleHGN2025.12 | 93.42 | 93.87 | — | — | — | — | — | |
| RSHN2021.12 | 93.34 | 93.81 | — | — | — | — | — | |
| RSHN2025.12 | 93.34 | 93.81 | — | — | — | — | — | |
| MAGNN2021.12 | 93.28 | 93.76 | — | — | — | — | — | |
| MAGNN2025.12 | 93.28 | 93.76 | — | — | — | — | — | |
| TG-HGTFramework=THeGAU, Backbone=HGT2025.12 | 93.25 | 93.82 | — | — | — | — | — | |
| HANTraining ratio=80%2019.03 | 93.08 | 93.99 | — | — | — | — | — | |
| HGT2025.12 | 93.02 | 93.58 | — | — | — | — | — | |
| HGT2021.12 | 93.01 | 93.49 | — | — | — | — | — | |
| HGTModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 93.01 | 93.49 | — | — | — | — | — | |
| HERecTraining ratio=60%2019.03 | 92.8 | 93.7 | — | — | — | — | — | |
| HANTraining ratio=60%2019.03 | 92.8 | 93.7 | — | — | — | — | — | |
| RGATModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 92.61 | 93.15 | — | — | — | — | — | |
| ESimTraining ratio=80%2019.03 | 92.53 | 93.44 | — | — | — | — | — | |
| HANsemTraining ratio=80%2019.03 | 92.53 | 93.29 | — | — | — | — | — | |
| ESimTraining ratio=60%2019.03 | 92.44 | 93.39 | — | — | — | — | — | |
| HANTraining ratio=40%2019.03 | 92.4 | 93.3 | — | — | — | — | — | |
| GCNTraining ratio=80%2019.03 | 92.38 | 93.09 | — | — | — | — | — | |
| HANsemTraining ratio=60%2019.03 | 92.38 | 93.31 | — | — | — | — | — | |
| HERecTraining ratio=80%2019.03 | 92.34 | 93.27 | — | — | — | — | — | |
| HANTraining ratio=20%2019.03 | 92.24 | 93.11 | — | — | — | — | — | |
| HERecTraining ratio=40%2019.03 | 92.16 | 93.18 | — | — | — | — | — | |
| HANsemTraining ratio=40%2019.03 | 92.08 | 93 | — | — | — | — | — | |
| ESimTraining ratio=40%2019.03 | 92.04 | 93.07 | — | — | — | — | — | |
| HANsemTraining ratio=20%2019.03 | 92.03 | 92.99 | — | — | — | — | — | |
| metapath2vecTraining ratio=80%2019.03 | 91.89 | 92.8 | — | — | — | — | — | |
| GCNTraining ratio=60%2019.03 | 91.89 | 92.62 | — | — | — | — | — | |
| HANndTraining ratio=80%2019.03 | 91.8 | 92.69 | — | — | — | — | — | |
| HANndTraining ratio=60%2019.03 | 91.78 | 92.69 | — | — | — | — | — | |
| HetGNN2021.12 | 91.76 | 92.33 | — | — | — | — | — | |
| HetGNN2025.12 | 91.76 | 92.33 | — | — | — | — | — | |
| GATTraining ratio=80%2019.03 | 91.73 | 92.55 | — | — | — | — | — | |
| HERecTraining ratio=20%2019.03 | 91.68 | 92.69 | — | — | — | — | — | |
| HAN2021.12 | 91.67 | 92.05 | — | — | — | — | — | |
| HAN2025.12 | 91.67 | 92.05 | — | — | — | — | — | |
| HANModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 91.67 | 92.05 | — | — | — | — | — | |
| ESimTraining ratio=20%2019.03 | 91.64 | 92.73 | — | — | — | — | — | |
| RGCN2021.12 | 91.52 | 92.07 | — | — | — | — | — | |
| RGCNModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 91.52 | 92.07 | — | — | — | — | — | |
| GCNTraining ratio=40%2019.03 | 91.48 | 92.31 | — | — | — | — | — | |
| HANndTraining ratio=40%2019.03 | 91.46 | 92.38 | — | — | — | — | — | |
| DiffGraphModel Category=Heterogeneous Model under Homophily, Seeds=52026.05 | 91.45 | 91.72 | — | — | — | — | — | |
| metapath2vecTraining ratio=60%2019.03 | 91.32 | 92.48 | — | — | — | — | — | |
| GATTraining ratio=40%2019.03 | 91.2 | 92.16 | — | — | — | — | — | |
| HANndTraining ratio=20%2019.03 | 91.17 | 92.05 | — | — | — | — | — | |
| GATModel Category=Vanilla Model, Seeds=52026.05 | 91.05 | 91.73 | — | — | — | — | — | |
| GATTraining ratio=20%2019.03 | 90.97 | 91.96 | — | — | — | — | — | |
| GCN2021.12 | 90.84 | 91.47 | — | — | — | — | — | |
| GCNModel Category=Vanilla Model, Seeds=52026.05 | 90.84 | 91.47 | — | — | — | — | — | |
| metapath2vecTraining ratio=40%2019.03 | 90.82 | 92.03 | — | — | — | — | — | |
| GATTraining ratio=60%2019.03 | 90.8 | 91.84 | — | — | — | — | — | |
| GCNTraining ratio=20%2019.03 | 90.79 | 91.71 | — | — | — | — | — | |
| metapath2vecTraining ratio=20%2019.03 | 90.16 | 91.53 | — | — | — | — | — | |
| DeepWalkTraining ratio=80%2019.03 | 84.81 | 86.26 | — | — | — | — | — | |
| DeepWalkTraining ratio=60%2019.03 | 83.67 | 85.27 | — | — | — | — | — | |
| FAGCNModel Category=Homogeneous Model with Heterophily, Seeds=52026.05 | 82.4 | 83.08 | — | — | — | — | — | |
| ACM-GCNModel Category=Homogeneous Model with Heterophily, Seeds=52026.05 | 81.8 | 82.91 | — | — | — | — | — | |
| DeepWalkTraining ratio=40%2019.03 | 81.02 | 82.73 | — | — | — | — | — | |
| MLPModel Category=Vanilla Model, Seeds=52026.05 | 80.36 | 80.92 | — | — | — | — | — | |
| HetSANN2021.12 | 78.55 | 80.56 | — | — | — | — | — | |
| HetSANN2025.12 | 78.55 | 80.56 | — | — | — | — | — | |
| GRAINModel Category=Homogeneous Model with Heterophily, Seeds=52026.05 | 78.47 | 79.48 | — | — | — | — | — | |
| DeepWalkTraining ratio=20%2019.03 | 77.43 | 79.37 | — | — | — | — | — | |
| LINKXModel Category=Homogeneous Model with Heterophily, Seeds=52026.05 | 75.05 | 77.78 | — | — | — | — | — | |
| HTADGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 62.23 | 62.59 | — | 0.182 | 0.0715 | — | — | |
| STENCILGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 61.53 | 62.13 | — | 0.184 | 0.075 | — | — | |
| HANGCL Type=None, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 61.33 | 61.74 | — | 0.199 | 0.0869 | — | — | |
| MEOWGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 61.14 | 61.75 | — | 0.18 | 0.0722 | — | — | |
| HeCoGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 61.01 | 61.87 | — | 0.199 | 0.0762 | — | — | |
| GRACEGCL Type=general, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 60.79 | 61.13 | — | 0.197 | 0.0831 | — | — | |
| GCAGCL Type=general, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 60.71 | 61.16 | — | 0.194 | 0.0814 | — | — | |
| HGCLGCL Type=tailored for HGNNs, Base model=HAN, Label rate=0.05, Bucket size=72025.12 | 60.71 | 61.44 | — | 0.197 | 0.0923 | — | — | |
| ASTGCN2026.02 | — | — | 75.04 | — | — | — | 76.7 | |
| Auto-GNNMaximum refinement budget=1002025.07 | — | — | — | — | — | 83.69 | — | |
| AutoTransferMaximum refinement budget=1002025.07 | — | — | — | — | — | 83.59 | — | |
| CANEBackbone=GAT, Annotator=gpt-3.5-turbo2026.05 | — | — | 77.28 | — | — | — | — | |
| CANEBackbone=GCN, Annotator=gpt-3.5-turbo2026.05 | — | — | 75.66 | — | — | — | — | |
| CAWN2026.02 | — | — | 73.56 | — | — | — | 75.58 | |
| Coarsening-HGRatio (r)=1.2%2025.12 | — | — | 53.27 | — | — | — | — | |
| Coarsening-HGRatio (r)=2.4%2025.12 | — | — | 59.63 | — | — | — | — | |
| Coarsening-HGRatio (r)=4.8%2025.12 | — | — | 66.21 | — | — | — | — | |
| Coarsening-HGRatio (r)=9.6%2025.12 | — | — | 76.91 | — | — | — | — | |
| Coarsening-HGRatio (r)=1.2%, Backbone=SeHGNN2026.07 | — | — | 54.33 | — | — | — | — | |
| Coarsening-HGRatio (r)=2.4%, Backbone=SeHGNN2026.07 | — | — | 58.71 | — | — | — | — | |
| Coarsening-HGRatio (r)=4.8%, Backbone=SeHGNN2026.07 | — | — | 65.33 | — | — | — | — | |
| Coarsening-HGRatio (r)=9.6%, Backbone=SeHGNN2026.07 | — | — | 77.66 | — | — | — | — |