Table 1

Performance comparison of models with different training stages

MetricsPretrainingCMGN-TL
CMGN-DLCMGN-PKICMGN-BTK
Conditional metricsSFF (%)90.65996.59292.67678.493
Recovery (%)2.5879.6475.2571.845
Recovery (%) (Tc ≥ 0.6)12.40023.17015.289.833
MOSES metricsValidity (%)98.03999.82999.38498.924
Uniqueness (%)40.57363.92348.89140.910
Novelty (%)58.6258.53
IntDiv0.5890.6030.6610.682
MetricsPretrainingCMGN-TL
CMGN-DLCMGN-PKICMGN-BTK
Conditional metricsSFF (%)90.65996.59292.67678.493
Recovery (%)2.5879.6475.2571.845
Recovery (%) (Tc ≥ 0.6)12.40023.17015.289.833
MOSES metricsValidity (%)98.03999.82999.38498.924
Uniqueness (%)40.57363.92348.89140.910
Novelty (%)58.6258.53
IntDiv0.5890.6030.6610.682
Table 1

Performance comparison of models with different training stages

MetricsPretrainingCMGN-TL
CMGN-DLCMGN-PKICMGN-BTK
Conditional metricsSFF (%)90.65996.59292.67678.493
Recovery (%)2.5879.6475.2571.845
Recovery (%) (Tc ≥ 0.6)12.40023.17015.289.833
MOSES metricsValidity (%)98.03999.82999.38498.924
Uniqueness (%)40.57363.92348.89140.910
Novelty (%)58.6258.53
IntDiv0.5890.6030.6610.682
MetricsPretrainingCMGN-TL
CMGN-DLCMGN-PKICMGN-BTK
Conditional metricsSFF (%)90.65996.59292.67678.493
Recovery (%)2.5879.6475.2571.845
Recovery (%) (Tc ≥ 0.6)12.40023.17015.289.833
MOSES metricsValidity (%)98.03999.82999.38498.924
Uniqueness (%)40.57363.92348.89140.910
Novelty (%)58.6258.53
IntDiv0.5890.6030.6610.682
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