Link Prediction on Art500K
84.62AccuracyMLaGA
Evaluation results
| Method | Links | |
|---|---|---|
| MLaGAModel Type=Ours2025.06 | 84.62 | |
| LLaGA-NDModel Type=Graph LLM, Training Setting=Cross-Task2025.06 | 81.07 | |
| LLaGA-NDModel Type=Graph LLM, Training Setting=Cross-Domain2025.06 | 80.25 | |
| LLaGA-NDModel Type=Graph LLM, Training Setting=Single Focus2025.06 | 80.06 | |
| GCNModel Type=GNN-based2025.06 | 76.6 | |
| GraphSAGEModel Type=GNN-based2025.06 | 72.27 | |
| Unigraph2Model Type=Multimodal Graph Model2025.06 | 64.4 | |
| Qwen2.5-VL-7BModel Type=MLLM2025.06 | 62.03 | |
| GraphPrompterModel Type=Graph LLM2025.06 | 51.45 | |
| MGATModel Type=Multimodal Graph Model2025.06 | 50.56 | |
| MMGCNModel Type=Multimodal Graph Model2025.06 | 50.33 | |
| LLaVA1.5-Next-7BModel Type=MLLM2025.06 | 49.98 | |
| MLPModel Type=GNN-based2025.06 | 49.1 | |
| GraphGPTModel Type=Graph LLM2025.06 | 39.38 |