Node Classification on Freebase
62.24Macro F1CaDeM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CaDeM2026.03 | 62.24 | 68.87 | |
| DMG2026.03 | 60.84 | 67.95 | |
| DeepWalk2026.03 | 59.93 | 66.38 | |
| MuseGraphLLM Base Model=LLaMA3-8B2024.03 | 59.62 | 78.01 | |
| MCGC2026.03 | 59.61 | 66.42 | |
| GraphMAE2026.03 | 59.24 | 66.52 | |
| HDMI2026.03 | 58.99 | 65.95 | |
| MuseGraphLLM Base Model=Qwen2-7B-Instruct2024.03 | 58.18 | 76.4 | |
| VGAE2026.03 | 55.23 | 63.75 | |
| DGI2026.03 | 54.26 | 66.29 | |
| MNE2026.03 | 54.11 | 64.43 | |
| RpHGNNLearning Style=Pre-computation2023.10 | 54.02 | 66.55 | |
| LMSPSmeta-path selection=searched2023.07 | 53.26 | 66.09 | |
| SeHGNN2023.07 | 52.18 | 64.92 | |
| MuseGraphLLM Base Model=LLaMA1-7B2024.03 | 51.36 | 75.42 | |
| MVGRL2026.03 | 51.02 | 64.38 | |
| SeHGNNLearning Style=Pre-computation2023.10 | 50.71 | 63.41 | |
| SlotGAT2023.07 | 50.71 | 63.41 | |
| NARSLearning Style=Pre-computation2023.10 | 49.98 | 63.26 | |
| NARS2023.07 | 49.98 | 63.26 | |
| HINormerLearning Style=E2E2023.10 | 49.94 | 66.47 | |
| SlotGAT2024.05 | 49.68 | 66.83 | |
| CHoEUpstream=ACM, Shot-count=5-shot2026.05 | 49.36 | — | |
| HINormer2024.03 | 48.87 | 66.51 | |
| CHoEUpstream=Freebase, Shot-count=5-shot2026.05 | 48.58 | — | |
| MuseGraphLLM Base Model=LLaMA2-7B2024.03 | 48.44 | 73.68 | |
| simpleHGN2024.05 | 47.72 | 66.29 | |
| Simple-HGNLearning Style=E2E2023.10 | 47.72 | 66.29 | |
| Simple-HGN2023.07 | 47.72 | 65.26 | |
| Node2Vec2026.03 | 47.32 | 62.54 | |
| R-GCN2024.03 | 47.03 | 58.57 | |
| RGCN2024.05 | 46.78 | 58.33 | |
| RGCNLearning Style=E2E2023.10 | 46.78 | 58.33 | |
| RGCN2023.07 | 46.78 | 58.33 | |
| CHoEUpstream=DBLP, Shot-count=5-shot2026.05 | 46.19 | — | |
| CHoEUpstream=Aminer, Shot-count=5-shot2026.05 | 46.16 | — | |
| GPH2Labels=52026.02 | 44.78 | 47.88 | |
| GraphSAGELearning Style=E2E2023.10 | 44.17 | 61.71 | |
| HGPromptUpstream=Freebase, Shot-count=5-shot2026.05 | 42.39 | — | |
| space4HGNN2024.05 | 41.37 | 65.66 | |
| space4HGNN2023.07 | 41.37 | 65.66 | |
| HGPromptUpstream=ACM, Shot-count=5-shot2026.05 | 40.91 | — | |
| HGPromptLabels=52026.02 | 40.78 | 43.49 | |
| GAT2024.05 | 40.74 | 65.26 | |
| GATLearning Style=E2E2023.10 | 40.74 | 65.26 | |
| GAT2024.03 | 40.4 | 65.83 | |
| GPH2Labels=32026.02 | 39.73 | 45.34 | |
| HGPromptUpstream=Aminer, Shot-count=5-shot2026.05 | 39.36 | — | |
| HGPromptUpstream=DBLP, Shot-count=5-shot2026.05 | 38.97 | — | |
| HeCoLabels=52026.02 | 37.99 | 42.77 | |
| HGPromptLabels=32026.02 | 37.55 | 41.97 | |
| HeCoLabels=32026.02 | 35.43 | 40.67 | |
| HGMAELabels=52026.02 | 35.15 | 37.39 | |
| HGMAELabels=32026.02 | 34.79 | 38.55 | |
| OFA2024.03 | 34.75 | 56.58 | |
| DMGILabels=52026.02 | 33.37 | 35.22 | |
| HGMAEUpstream=ACM, Shot-count=5-shot2026.05 | 32.45 | — | |
| HGMAEUpstream=Aminer, Shot-count=5-shot2026.05 | 32.25 | — | |
| HetGPTUpstream=Freebase, Shot-count=5-shot2026.05 | 32.13 | — | |
| DMGILabels=32026.02 | 31.95 | 33.92 | |
| HGMAEUpstream=Freebase, Shot-count=5-shot2026.05 | 31.51 | — | |
| HEROLabels=32026.02 | 31.39 | 35.33 | |
| HGMAEUpstream=DBLP, Shot-count=5-shot2026.05 | 30.62 | — | |
| HEROLabels=52026.02 | 30.35 | 33.67 | |
| HetGPTUpstream=Aminer, Shot-count=5-shot2026.05 | 30.09 | — | |
| HetGPTUpstream=DBLP, Shot-count=5-shot2026.05 | 30.06 | — | |
| HetGPTUpstream=ACM, Shot-count=5-shot2026.05 | 29.94 | — | |
| GCN2024.03 | 29.35 | 59.86 | |
| HGT2024.03 | 29.33 | 60.46 | |
| HGT2024.05 | 29.28 | 60.51 | |
| HGTLearning Style=E2E2023.10 | 29.28 | 60.51 | |
| HGT2023.07 | 29.28 | 46.78 | |
| HetGPTLabels=52026.02 | 29.03 | 42.22 | |
| GCN2024.05 | 27.84 | 60.23 | |
| GCNLearning Style=E2E2023.10 | 27.84 | 60.23 | |
| GraphSAGE2024.03 | 27.59 | 58.97 | |
| HetGPTLabels=32026.02 | 27.57 | 43.86 | |
| GHGRL2024.03 | 26.15 | 55.96 | |
| GPT-3.52024.03 | 25.34 | 30.61 | |
| GPT-42024.03 | 24.19 | 28.02 | |
| HAN2024.05 | 21.31 | 54.77 | |
| HANLearning Style=E2E2023.10 | 21.31 | 54.77 | |
| HAN2023.07 | 21.31 | 54.77 | |
| LMSPSmeta-path selection=random2023.07 | 21.22 | 37.54 | |
| All-in-One2024.03 | 21.04 | 50.48 | |
| RevGNN2024.03 | 20.85 | 56.02 | |
| Qwen2-7B-Instruct2024.03 | 13.47 | 20.85 | |
| HiGPT2024.03 | 7.02 | 16.17 | |
| GraphGPT2024.03 | 6.14 | 15.8 | |
| LLaMA3-8B2024.03 | 3.76 | 5.98 | |
| InstructGLM2024.03 | 2.38 | 5.65 | |
| LLaMA2-7B2024.03 | 1.78 | 5.29 | |
| LLaMA1-7B2024.03 | 1.72 | 4.22 | |
| Baichuan2-7B-Base2024.03 | 1.62 | 3.6 |