Graph Classification on BBBP (Accuracy)
84AccuracySciReasoner
Evaluation Results
| Method | Links | |
|---|---|---|
| SciReasoner2026.07 | 84 | |
| GLIP-MistralCategory=Ours, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 80.99 | |
| GLIP-QwenCategory=Ours, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 80.04 | |
| TEA-GLM-MistralCategory=Graph-LLM Method, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 79.73 | |
| GraphGPT-MistralCategory=Graph-LLM Method, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 78.42 | |
| TEA-GLM-QwenCategory=Graph-LLM Method, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 78.4 | |
| GraphCLCategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 77.22 | |
| GraphGPT-QwenCategory=Graph-LLM Method, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 77.22 | |
| LLaGA-QwenCategory=Graph-LLM Method, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 76.6 | |
| DGICategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 76.53 | |
| LLaGA-MistralCategory=Graph-LLM Method, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 76.53 | |
| GraphMAECategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 76.52 | |
| SimGRACECategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 76.41 | |
| GLIP-QwenEvaluation Protocol=5-shot, Model Category=Ours, Backbone=Qwen2026.06 | 74.85 | |
| MolCLR2026.07 | 74 | |
| DGIEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 72.54 | |
| GraphMAEEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 72.5 | |
| LLaGA-MistralEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Mistral2026.06 | 72.49 | |
| GLIP-MistralEvaluation Protocol=5-shot, Model Category=Ours, Backbone=Mistral2026.06 | 72.16 | |
| SimGRACEEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 72.14 | |
| LLaGA-QwenEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Qwen2026.06 | 71.57 | |
| TEA-GLM-QwenEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Qwen2026.06 | 70.49 | |
| GraphGPT-MistralEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Mistral2026.06 | 70.16 | |
| GraphGPT-QwenEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Qwen2026.06 | 69.32 | |
| TEA-GLM-MistralEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Mistral2026.06 | 66.63 | |
| GraphCLEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 63.83 |