Graph Node Classification and Link Prediction on Daily Life
97.42n-F1GraphSAGEco-train
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GraphSAGEco-trainLLM=GPT-4-turbo2024.05 | 97.42 | 85.8 | 86.57 | |
| DirectLLM=GPT-4-turbo2024.05 | 97.36 | 84.58 | 86.77 | |
| GraphSAGELLM=GPT-4-turbo2024.05 | 97.34 | 85.67 | 86.97 | |
| GraphSAGELLM=GPT-3.5-turbo2024.05 | 96.43 | 86.26 | 83.13 | |
| GraphSAGEco-trainLLM=GPT-3.5-turbo2024.05 | 96.34 | 86.09 | 83.13 | |
| DirectLLM=GPT-3.5-turbo2024.05 | 96.09 | 83.65 | 81.3 | |
| GraphSAGELLM=CodeLlama-13B2024.05 | 93.84 | 80.38 | 73.6 | |
| GraphSAGEco-trainLLM=CodeLlama-13B2024.05 | 93.3 | 79.51 | 74 | |
| GraphTokenLLM=CodeLlama-13B2024.05 | 92.5 | 73.57 | 69.42 | |
| DirectLLM=CodeLlama-13B2024.05 | 91.2 | 76.07 | 66.4 | |
| GraphSAGEco-trainLLM=Mistral-7B2024.05 | 87.61 | 66.75 | 52.97 | |
| GraphSAGELLM=Mistral-7B2024.05 | 87.51 | 66.57 | 52.74 | |
| GraphTokenLLM=Mistral-7B2024.05 | 86.82 | 57.06 | 53.99 | |
| GraphSAGELLM=Vicuna-13B2024.05 | 86.07 | 67.63 | 48.64 | |
| DirectLLM=Mistral-7B2024.05 | 84.26 | 53.63 | 44.52 | |
| GraphSAGEco-trainLLM=Vicuna-13B2024.05 | 84.23 | 65.44 | 47.81 | |
| GraphTokenLLM=Vicuna-13B2024.05 | 81.65 | 48.29 | 43.37 | |
| TAPELLM=CodeLlama-13B2024.05 | 77.74 | — | 17.37 | |
| TAPELLM=Mistral-7B2024.05 | 76.4 | — | 16.44 | |
| DirectLLM=Vicuna-13B2024.05 | 73.7 | 45.8 | 24.43 | |
| TAPELLM=Vicuna-13B2024.05 | 73.26 | — | 12.5 | |
| TAPELLM=GPT-4-turbo2024.05 | 71.51 | — | 9.4 | |
| TAPELLM=GPT-3.5-turbo2024.05 | 70.67 | — | 8.92 |