Node Classification on VideoGames
93.44AccuracyMLaGA
Evaluation results
| Method | Links | |
|---|---|---|
| MLaGAModel Type=Ours2025.06 | 93.44 | |
| GraphPrompterModel Type=Graph LLM2025.06 | 92.56 | |
| Qwen2.5-VL-7BModel Type=MLLM2025.06 | 91.86 | |
| MLPModel Type=GNN-based2025.06 | 90.98 | |
| MMGCNModel Type=Multimodal Graph Model2025.06 | 89.3 | |
| GraphSAGEModel Type=GNN-based2025.06 | 86.76 | |
| LLaGA-NDModel Type=Graph LLM, Training Setting=Cross-Domain2025.06 | 86.35 | |
| LLaGA-NDModel Type=Graph LLM, Training Setting=Single Focus2025.06 | 86.08 | |
| LLaGA-NDModel Type=Graph LLM, Training Setting=Cross-Task2025.06 | 85.85 | |
| MGATModel Type=Multimodal Graph Model2025.06 | 85.15 | |
| Unigraph2Model Type=Multimodal Graph Model2025.06 | 81.79 | |
| GCNModel Type=GNN-based2025.06 | 77.28 | |
| LLaVA1.5-Next-7BModel Type=MLLM2025.06 | 66.75 | |
| GraphGPTModel Type=Graph LLM2025.06 | 48.04 |