Graph Classification on Text-Attributed Graphs 3-shot (test)
72.33BBBP AccuracyGLIP
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GLIPMethod Category=Ours, Backbone=Mistral, Shot Setting=3-shot2026.06 | 72.33 | 54.61 | 74.98 | 67.31 | |
| GLIPMethod Category=Ours, Backbone=Qwen, Shot Setting=3-shot2026.06 | 71.53 | 54.68 | 73.49 | 66.57 | |
| GraphMAEMethod Category=Graph Pretrain Method, Shot Setting=3-shot2026.06 | 70.92 | 54.31 | 73.86 | 66.36 | |
| LLaGAMethod Category=Graph-LLM Method, Backbone=Mistral, Shot Setting=3-shot2026.06 | 70.61 | 54.38 | 70.26 | 65.08 | |
| LLaGAMethod Category=Graph-LLM Method, Backbone=Qwen, Shot Setting=3-shot2026.06 | 70.39 | 53.16 | 68.95 | 64.17 | |
| SimGRACEMethod Category=Graph Pretrain Method, Shot Setting=3-shot2026.06 | 70.29 | 54.33 | 71.16 | 65.26 | |
| DGIMethod Category=Graph Pretrain Method, Shot Setting=3-shot2026.06 | 70.13 | 54.08 | 72.53 | 65.58 | |
| GraphGPTMethod Category=Graph-LLM Method, Backbone=Mistral, Shot Setting=3-shot2026.06 | 69.23 | 51.35 | 69.7 | 63.43 | |
| GraphGPTMethod Category=Graph-LLM Method, Backbone=Qwen, Shot Setting=3-shot2026.06 | 68.98 | 52.35 | 70.25 | 63.86 | |
| TEA-GLMMethod Category=Graph-LLM Method, Backbone=Qwen, Shot Setting=3-shot2026.06 | 68.83 | 50.79 | 68.43 | 62.68 | |
| GraphCLMethod Category=Graph Pretrain Method, Shot Setting=3-shot2026.06 | 64.92 | 54.02 | 69.7 | 62.88 | |
| TEA-GLMMethod Category=Graph-LLM Method, Backbone=Mistral, Shot Setting=3-shot2026.06 | 64.92 | 53.79 | 69.71 | 62.81 |