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Property Optimization on ZINC250K (test)

0.8441st Order Metric

MRNN

Updated 4d ago

Evaluation Results

Method	Links
MRNN 2021.06		0.844	0.796	0.736
MRNN 2022.10		0.844	0.799	0.736
FREED 2021.06		0.92	0.919	0.908
JT-VAE 2021.06		0.925	0.911	0.91
JTVAE 2022.10		0.925	0.911	0.91
MARS 2021.06		0.944	0.943	0.942
GA 2021.06		0.946	0.944	0.932
H-VAE* 2021.06		0.947	0.946	0.946
ModFlow 2022.10		0.947	0.941	0.939
GCPN 2021.06		0.948	0.947	0.946
GraphAF 2021.06		0.948	0.948	0.947
GraphDF 2021.06		0.948	0.948	0.948
F-VAE* 2021.06		0.948	0.948	0.947
PS-VAE 2021.06		0.948	0.948	0.948
ZINC (dataset) 2022.10		0.948	0.948	0.948
GCPN 2022.10		0.948	0.947	0.945
GraphAF 2022.10		0.948	0.948	0.947
GraphDF 2022.10		0.948	0.948	0.948
MoFlow 2022.10		0.948	0.948	0.948
ModFlow 2022.10		0.948	0.941	0.937
ModFlow 2022.10		0.948	0.937	0.931
ModFlow 2022.10		0.948	0.948	0.945
JT-VAE 2021.06		5.3	4.93	4.49
FREED 2021.06		6.74	6.65	6.42
MARS 2021.06		7.24	6.44	6.43
GCPN 2021.06		7.98	7.85	7.8
MRNN 2021.06		8.63	6.08	4.73
H-VAE* 2021.06		11.41	9.67	9.31
GraphAF 2021.06		12.23	11.29	11.05
GA 2021.06		12.25	12.22	12.2
F-VAE* 2021.06		13.5	12.62	12.4
GraphDF 2021.06		13.7	13.18	13.17
PS-VAE 2021.06		13.95	13.83	13.65