Graph Classification on Feature Graphs 3-shot (test)
74.71Accuracy (MUTAG)GLIP
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GLIPMethod Category=Ours, Backbone=Qwen, Shot Setting=3-shot2026.06 | 74.71 | 64.99 | 71.54 | 53.49 | 66.18 | |
| SimGRACEMethod Category=Graph Pretrain Method, Shot Setting=3-shot2026.06 | 74.32 | 62.08 | 71.23 | 51.43 | 64.77 | |
| GLIPMethod Category=Ours, Backbone=Mistral, Shot Setting=3-shot2026.06 | 73.29 | 62.98 | 72.45 | 53.17 | 65.47 | |
| DGIMethod Category=Graph Pretrain Method, Shot Setting=3-shot2026.06 | 72.9 | 62.55 | 68.48 | 50.91 | 63.71 | |
| TEA-GLMMethod Category=Graph-LLM Method, Backbone=Mistral, Shot Setting=3-shot2026.06 | 71.68 | 62.36 | 70.31 | 52.71 | 64.27 | |
| GraphCLMethod Category=Graph Pretrain Method, Shot Setting=3-shot2026.06 | 71.25 | 61.21 | 70.53 | 51.43 | 63.61 | |
| GraphMAEMethod Category=Graph Pretrain Method, Shot Setting=3-shot2026.06 | 69.42 | 59.98 | 62.41 | 51.72 | 60.88 | |
| LLaGAMethod Category=Graph-LLM Method, Backbone=Qwen, Shot Setting=3-shot2026.06 | 68.52 | 62.06 | 66.36 | 50.77 | 61.93 | |
| TEA-GLMMethod Category=Graph-LLM Method, Backbone=Qwen, Shot Setting=3-shot2026.06 | 68.26 | 61.32 | 68.67 | 51.56 | 62.45 | |
| LLaGAMethod Category=Graph-LLM Method, Backbone=Mistral, Shot Setting=3-shot2026.06 | 61.1 | 59.75 | 65.3 | 51.15 | 59.33 |