Node Classification on Movies
65.74AccuracyFedMGS
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| FedMGSNumber of clients=5, Missingness rate (ρ)=0.52026.06 | 65.74 | — | — | — | |
| CAMPA2026.05 | 61.04 | 53.33 | — | — | |
| TMTE2026.03 | 60.31 | 53.48 | — | — | |
| DGF2026.05 | 59.51 | 50.33 | — | — | |
| SUPRA BaseFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=SUPRA2026.05 | 59.03 | 54.15 | — | — | |
| MIG-GT2026.05 | 59.01 | 46.12 | — | — | |
| SUPRA + AuxFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=SUPRA2026.05 | 58.9 | 55.06 | — | — | |
| LION2026.01 | 58.61 | 51.73 | — | — | |
| MMGCN2026.05 | 58.36 | 47.31 | — | — | |
| MGAT2026.05 | 58.34 | 47.77 | — | — | |
| LGMRec2026.05 | 58.01 | 45.15 | — | — | |
| EF-MLPFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=MLP2026.05 | 57.51 | 51.55 | — | — | |
| DMGC2026.05 | 57.41 | 44.11 | — | — | |
| SAGEFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=GNNs2026.05 | 57.06 | 51.26 | — | — | |
| DGF2026.03 | 56.48 | 46.14 | — | — | |
| NTSFormer2026.03 | 56.37 | 43.83 | — | — | |
| MMGCN2026.03 | 56.32 | 44.52 | — | — | |
| FedMGSNumber of clients=10, Missingness rate (ρ)=0.52026.06 | 56.31 | — | — | — | |
| MLaGA2026.03 | 56.25 | 44.67 | — | — | |
| NTSFormerFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=MAGs2026.05 | 56.14 | 50.93 | — | — | |
| SAGEFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=GNNs2026.05 | 56.03 | 49.66 | — | — | |
| FedMVPNumber of clients=5, Missingness rate (ρ)=0.52026.06 | 55.99 | — | — | — | |
| MIG-GTFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=MAGs2026.05 | 55.93 | 46.13 | — | — | |
| SUPRA BaseFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=SUPRA2026.05 | 55.92 | 48.92 | — | — | |
| SUPRA + AuxFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=SUPRA2026.05 | 55.85 | 49.81 | — | — | |
| JKNetFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=GNNs2026.05 | 55.75 | 50.12 | — | — | |
| CoMAG2026.06 | 55.62 | 49 | — | — | |
| MGAT2026.03 | 55.51 | 43.95 | — | — | |
| Graph4MM2026.03 | 55.48 | 42.95 | — | — | |
| GCNFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=GNNs2026.05 | 55.47 | 50.09 | — | — | |
| LGMRec2026.03 | 55.44 | 42.78 | — | — | |
| FedGTANumber of clients=5, Missingness rate (ρ)=0.52026.06 | 55.25 | — | — | — | |
| MMGCNFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=MAGs2026.05 | 55.19 | 50.25 | — | — | |
| UniGraph22026.05 | 55.02 | 43.19 | — | — | |
| MLaGAModel Type=Ours2025.06 | 54.99 | — | — | — | |
| MIG-GT2026.03 | 54.93 | 43.12 | — | — | |
| UniGraph22026.03 | 54.51 | 42.53 | — | — | |
| MGATFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=MAGs2026.05 | 54.44 | 48.84 | — | — | |
| GCNFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=GNNs2026.05 | 54.41 | 46.56 | — | — | |
| JKNetFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=GNNs2026.05 | 54.41 | 48.35 | — | — | |
| InstructG2I2026.03 | 54.37 | 42.55 | — | — | |
| GATFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=GNNs2026.05 | 54.29 | 48.02 | — | — | |
| FedMVPNumber of clients=10, Missingness rate (ρ)=0.52026.06 | 54.26 | — | — | — | |
| NTSFormerFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=MAGs2026.05 | 54.07 | 46.91 | — | — | |
| FedAvgNumber of clients=5, Missingness rate (ρ)=0.52026.06 | 54.03 | — | — | — | |
| GAT2026.05 | 53.98 | 43.57 | — | — | |
| MMGCNFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=MAGs2026.05 | 53.95 | 46.08 | — | — | |
| NTSFormer2026.01 | 53.89 | 46.94 | — | — | |
| GATFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=GNNs2026.05 | 53.88 | 46.93 | — | — | |
| MH-pFLIDNumber of clients=5, Missingness rate (ρ)=0.52026.06 | 53.76 | — | — | — | |
| MGATFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=MAGs2026.05 | 53.74 | 46.93 | — | — | |
| LGMRec2026.06 | 53.74 | 47 | — | — | |
| VisualFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=MLP2026.05 | 53.72 | 45.29 | — | — | |
| FedProtoNumber of clients=5, Missingness rate (ρ)=0.52026.06 | 53.45 | — | — | — | |
| MIG-GT2026.01 | 53.17 | 47.6 | — | — | |
| FedMACNumber of clients=5, Missingness rate (ρ)=0.52026.06 | 53.12 | — | — | — | |
| MMGCN2026.06 | 53.04 | 43 | — | — | |
| DGF2026.01 | 52.94 | 45.13 | — | — | |
| UniGraph22026.01 | 52.92 | 46.28 | — | — | |
| GCN2026.06 | 52.51 | 46 | — | — | |
| GraphGPT-O2026.03 | 52.48 | 38.35 | — | — | |
| FedLapNumber of clients=5, Missingness rate (ρ)=0.52026.06 | 52.4 | — | — | — | |
| MGAT2026.06 | 52.39 | 38 | — | — | |
| DMGC2026.06 | 52.35 | 45 | — | — | |
| FedGTANumber of clients=10, Missingness rate (ρ)=0.52026.06 | 52.32 | — | — | — | |
| DMGC2026.03 | 52.26 | 42.54 | — | — | |
| GCN2026.03 | 52.24 | 41.8 | — | — | |
| FedProtoNumber of clients=10, Missingness rate (ρ)=0.52026.06 | 52.21 | — | — | — | |
| MH-pFLIDNumber of clients=10, Missingness rate (ρ)=0.52026.06 | 52.13 | — | — | — | |
| DGF2026.06 | 52.11 | 37 | — | — | |
| GCNII2026.03 | 52.05 | 42.62 | — | — | |
| PEPSYNumber of clients=5, Missingness rate (ρ)=0.52026.06 | 51.96 | — | — | — | |
| GAT2026.03 | 51.92 | 41.47 | — | — | |
| TextFeature Group=High-Confidence Priors (Llama-3.2), Backbone Type=MLP2026.05 | 51.77 | 45.14 | — | — | |
| DMGC2026.01 | 51.73 | 46.84 | — | — | |
| Qwen2.5-VL-7BModel Type=MLLM2025.06 | 51.66 | — | — | — | |
| FedMACNumber of clients=10, Missingness rate (ρ)=0.52026.06 | 51.56 | — | — | — | |
| GAT2026.06 | 51.38 | 43 | — | — | |
| EF-MLPFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=MLP2026.05 | 51.29 | 41.4 | — | — | |
| MLP2026.06 | 51.22 | 40 | — | — | |
| Mario-8BModality=Text+Image, Training Protocol=Mix-Training2026.03 | 50.98 | — | — | — | |
| FedLapNumber of clients=10, Missingness rate (ρ)=0.52026.06 | 50.85 | — | — | — | |
| InstructG2I2026.01 | 50.57 | 44.08 | — | — | |
| PEPSYNumber of clients=10, Missingness rate (ρ)=0.52026.06 | 50.55 | — | — | — | |
| GATv22026.03 | 50.31 | 39.62 | — | — | |
| LLaGA-NDModel Type=Graph LLM, Training Setting=Cross-Domain2025.06 | 50.19 | — | — | — | |
| MLaGAModality=Text+Image, Training Protocol=Mix-Training2026.03 | 50.08 | — | — | — | |
| MIG-GTFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=MAGs2026.05 | 49.89 | 35.66 | — | — | |
| Graph4MM2026.01 | 49.76 | 43.22 | — | — | |
| SMGFM-Expert2026.06 | 49.72 | 44.08 | — | — | |
| LLaGA-NDModel Type=Graph LLM, Training Setting=Single Focus2025.06 | 49.42 | — | — | — | |
| GATv2Modality=text+image2026.03 | 49.29 | — | — | — | |
| GraphGPT-O2026.01 | 49.12 | 42.94 | — | — | |
| VisualFeature Group=Standard Priors (CLIP+RoBERTa), Backbone Type=MLP2026.05 | 49.06 | 38.09 | — | — | |
| FedAvgNumber of clients=10, Missingness rate (ρ)=0.52026.06 | 48.8 | — | — | — | |
| LLaGA-NDModel Type=Graph LLM, Training Setting=Cross-Task2025.06 | 48.7 | — | — | — | |
| MLaGA2026.01 | 48.37 | 42.08 | — | — | |
| LLaGAModality=Text-only, Training Protocol=Mix-Training2026.03 | 47.8 | — | — | — | |
| GCNModality=Text+Image, Training Protocol=Mix-Training2026.03 | 47.76 | — | — | — | |
| SAGEModality=Text+Image, Training Protocol=Mix-Training2026.03 | 47.75 | — | — | — |