Node Classification on WikiCS LLM-embedded (test)
0.7983AccuracyGPRGNN
Evaluation Results
| Method | Links | |
|---|---|---|
| GPRGNNTraining Protocol=Tuned and trained separately per dataset, Feature Embedding=LLM (text-embedding-3-large)2025.12 | 0.7983 | |
| GPRGNNFeatures=LLM-embedded, Evaluation Setting=Dataset-specialized tuning2025.12 | 0.7983 | |
| GCNTraining Protocol=Tuned and trained separately per dataset, Feature Embedding=LLM (text-embedding-3-large)2025.12 | 0.787 | |
| GCNFeatures=LLM-embedded, Evaluation Setting=Dataset-specialized tuning2025.12 | 0.787 | |
| UniMPTraining Protocol=Tuned and trained separately per dataset, Feature Embedding=LLM (text-embedding-3-large)2025.12 | 0.7851 | |
| UniMPFeatures=LLM-embedded, Evaluation Setting=Dataset-specialized tuning2025.12 | 0.7851 | |
| RGVT + MLPTraining Protocol=Fully inductive (Pretrained on OGBN-Arxiv), Feature Embedding=LLM (text-embedding-3-large), Predictor=MLP2025.12 | 0.7821 | |
| RGVT + MLPFeatures=LLM-embedded, Evaluation Setting=Fully inductive, Pretraining=OGBN-Arxiv2025.12 | 0.7821 | |
| MLPFeatures=LLM-embedded, Evaluation Setting=Dataset-specific training2025.12 | 0.7469 | |
| GraphAnyFeatures=LLM-embedded, Evaluation Setting=Fully inductive, Pretraining=OGBN-Arxiv2025.12 | 0.7101 |