Graph Classification on E-Commerce semi-supervised (test)
86.36F1 ScoreGLIP-Mistral
Evaluation Results
| Method | Links | |
|---|---|---|
| GLIP-MistralBackbone=Mistral2026.06 | 86.36 | |
| GLIP-QwenBackbone=Qwen2026.06 | 84.16 | |
| TEA-GLM-QwenBackbone=Qwen2026.06 | 84.02 | |
| TEA-GLM-MistralBackbone=Mistral2026.06 | 84.01 | |
| LLaGA-QwenBackbone=Qwen2026.06 | 83.8 | |
| GraphMAEType=Graph Pretrain Method2026.06 | 83.37 | |
| SimGRACEType=Graph Pretrain Method2026.06 | 83.16 | |
| GraphCLType=Graph Pretrain Method2026.06 | 83.12 | |
| DGIType=Graph Pretrain Method2026.06 | 82.09 | |
| LLaGA-MistralBackbone=Mistral2026.06 | 81.74 | |
| GraphGPT-QwenBackbone=Qwen2026.06 | 81.62 | |
| GraphGPT-MistralBackbone=Mistral2026.06 | 80.21 |