Node Classification on Citeseer LLM-embedded (test)
76.03AccuracyGPRGNN
Evaluation results
| Method | Links | |
|---|---|---|
| GPRGNNTraining Protocol=Tuned and trained separately per dataset, Feature Embedding=LLM (text-embedding-3-large)2025.12 | 76.03 | |
| GPRGNNFeatures=LLM-embedded, Evaluation Setting=Dataset-specialized tuning2025.12 | 76.03 | |
| UniMPTraining Protocol=Tuned and trained separately per dataset, Feature Embedding=LLM (text-embedding-3-large)2025.12 | 75.71 | |
| UniMPFeatures=LLM-embedded, Evaluation Setting=Dataset-specialized tuning2025.12 | 75.71 | |
| GCNTraining Protocol=Tuned and trained separately per dataset, Feature Embedding=LLM (text-embedding-3-large)2025.12 | 75.65 | |
| GCNFeatures=LLM-embedded, Evaluation Setting=Dataset-specialized tuning2025.12 | 75.65 | |
| RGVT + MLPTraining Protocol=Fully inductive (Pretrained on OGBN-Arxiv), Feature Embedding=LLM (text-embedding-3-large), Predictor=MLP2025.12 | 75.22 | |
| RGVT + MLPFeatures=LLM-embedded, Evaluation Setting=Fully inductive, Pretraining=OGBN-Arxiv2025.12 | 75.22 | |
| GraphAnyFeatures=LLM-embedded, Evaluation Setting=Fully inductive, Pretraining=OGBN-Arxiv2025.12 | 74.15 | |
| MLPFeatures=LLM-embedded, Evaluation Setting=Dataset-specific training2025.12 | 72.73 |