Table 4:
The effect of fine-tuning GaLM* with pre-trained GNNs on stitched application graphs.
| Models | Search-CTR | ESCvsI | Query2PT |
|---|---|---|---|
| (ROC-AUC) | (macro-F1) | (macro-F1) | |
| 20.37% | 12.99% | 80.06% | |
| 19.93% | 11.34% | 77.25% |
The effect of fine-tuning GaLM* with pre-trained GNNs on stitched application graphs.
| Models | Search-CTR | ESCvsI | Query2PT |
|---|---|---|---|
| (ROC-AUC) | (macro-F1) | (macro-F1) | |
| 20.37% | 12.99% | 80.06% | |
| 19.93% | 11.34% | 77.25% |