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Table 3 Top-k accuracy\((\%)\) after re-ranking over R-SMILES on USPTO-50k

From: RetroRanker: leveraging reaction changes to improve retrosynthesis prediction through re-ranking

Models

Top-1

Top-3

Top-5

Top-10

Top-20

RetroSim

37.3

54.7

63.3

74.1

82.0

RetroXpert

50.4

61.1

62.3

63.4

63.9

GLN

52.5

69.0

75.6

83.7

89.0

LocalRetro

53.4

77.5

85.9

92.4

-

AT

53.5

–

81.0

85.7

-

R-SMILES

56.0

79.1

86.1

91.0

93.5

R-SMILES+RetroRanker\(^{*}\)

56.0

79.6 (+0.5)

86.6 (+0.5)

91.8 (+0.8)

93.8 (+0.3)

R-SMILES+RetroRanker\(^{\dagger }\)

56.0

79.5 (+0.4)

86.9 (+0.8)

91.5 (+0.5)

94.0 (+0.5)

  1. Bolded values represent the best top-k accuracies
  2. \(^{*}\) The re-ranking strategy is \(S2(100\%, 2)\), the GNN backbone is AttentiveFP
  3. \(^{\dagger }\) The re-ranking strategy is \(S2(100\%, 2)\), the GNN backbone is Graphormer