Table 8.

Parameter sensitivity analysis: model performance across different hyperparameter settings.

Parameter setting	Accuracy (%)	Recall (%)	F1 score (%)
GCN layer depth
2 Layers	89.34	88.12	88.72
3 Layers	92.56	91.78	92.17
4 Layers	91.01	89.95	90.47
Attention dimension
64	90.12	89.45	89.78
128	93.01	92.43	92.72
256	91.45	90.11	90.77
Domain regularization weight
0.1	90.45	89.67	90.05
0.5	93.12	92.56	92.83
1.0	91.23	90.34	90.78

The values in bold are the best values.