Graph Classification on REDDIT
89.3AccuracyWL-OA
Evaluation Results
| Method | Links | |
|---|---|---|
| WL-OAKernel Type=Weisfeiler-Lehman Optimal Assignment2016.06 | 89.3 | |
| GLIP-MistralCategory=Ours, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 87.21 | |
| TEA-GLM-MistralCategory=Graph-LLM Method, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 86.6 | |
| GLIP-QwenCategory=Ours, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 86.31 | |
| GraphCLCategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 86.19 | |
| TEA-GLM-QwenCategory=Graph-LLM Method, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 85.02 | |
| DGICategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 84.92 | |
| SPKernel Type=Shortest-path2016.06 | 84.6 | |
| SimGRACECategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 83.35 | |
| WLKernel Type=Weisfeiler-Lehman Convolution2016.06 | 80.8 | |
| GraphMAECategory=Graph Pretrain Method, Supervision Strategy=Semi-Supervised2026.06 | 80.4 | |
| E-OAKernel Type=Edge Optimal Assignment2016.06 | 79.8 | |
| V-OAKernel Type=Vertex Optimal Assignment2016.06 | 77.8 | |
| LLaGA-QwenCategory=Graph-LLM Method, LLM Backbone=Qwen, Supervision Strategy=Semi-Supervised2026.06 | 77.72 | |
| LLaGA-MistralCategory=Graph-LLM Method, LLM Backbone=Mistral-7B, Supervision Strategy=Semi-Supervised2026.06 | 75.84 | |
| VKernel Type=Vertex Convolution2016.06 | 75.3 | |
| GLIP-MistralEvaluation Protocol=5-shot, Model Category=Ours, Backbone=Mistral2026.06 | 75.12 | |
| EKernel Type=Edge Convolution2016.06 | 75.1 | |
| GLIP-QwenEvaluation Protocol=5-shot, Model Category=Ours, Backbone=Qwen2026.06 | 75.08 | |
| TEA-GLM-QwenEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Qwen2026.06 | 74.39 | |
| TEA-GLM-MistralEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Mistral2026.06 | 74.24 | |
| GraphCLEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 73.95 | |
| SimGRACEEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 72.91 | |
| DGIEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 68.55 | |
| LLaGA-QwenEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Qwen2026.06 | 68.14 | |
| LLaGA-MistralEvaluation Protocol=5-shot, Model Category=Graph-LLM Method, Backbone=Mistral2026.06 | 65.39 | |
| GraphMAEEvaluation Protocol=5-shot, Model Category=Graph Pretrain Method2026.06 | 64.17 | |
| GLKernel Type=Graphlet2016.06 | 60.1 |