Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage.
22 evaluations · 22 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: Shallow CNN | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.76(0.66)% Accuracy percent · higher Uncertainty: SD 0.66 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Shallow CNN, column Domain |
| Configuration: ResNet | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.29(1.46)% Accuracy percent · higher Uncertainty: SD 1.46 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceResNet: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row ResNet, column Domain |
| Configuration: Shallow CNN / GN | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 92.96(0.49)% Accuracy percent · higher Uncertainty: SD 0.49 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / GN: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, GN, column Domain |
| Configuration: CompGCN | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.94(0.41)% Accuracy percent · higher Uncertainty: SD 0.41 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCompGCN: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row CompGCN, column Domain |
| Configuration: RGCN | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 94.78(0.11)% Accuracy percent · higher Uncertainty: SD 0.11 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row RGCN, column Domain |
| Configuration: Shallow CNN / DWA | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.25(0.82)% Accuracy percent · higher Uncertainty: SD 0.82 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DWA: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, DWA, column Domain |
| Configuration: Transformer | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 91.98(0.27)% Accuracy percent · higher Uncertainty: SD 0.27 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Transformer, column Domain |
| Configuration: MPNN | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.83(0.17)% Accuracy percent · higher Uncertainty: SD 0.17 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMPNN: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row MPNN, column Domain |
| Configuration: Shallow CNN / DTP | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.54(0.41)% Accuracy percent · higher Uncertainty: SD 0.41 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DTP: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, DTP, column Domain |
| Configuration: RGCN / N-MTL | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.04(1.80)% Accuracy percent · higher Uncertainty: SD 1.8 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / N-MTL: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, N-MTL, column Domain |
| Configuration: RGCN / GN | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.73(0.72)% Accuracy percent · higher Uncertainty: SD 0.72 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / GN: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, GN, column Domain |
| Configuration: Shallow CNN / UW | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 92.93(0.94)% Accuracy percent · higher Uncertainty: SD 0.94 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / UW: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, UW, column Domain |
| Configuration: GAT | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 94.27(0.41)% Accuracy percent · higher Uncertainty: SD 0.41 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGAT: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GAT, column Domain |
| Configuration: RGCN / DWA | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 94.09(0.50)% Accuracy percent · higher Uncertainty: SD 0.5 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DWA: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DWA, column Domain |
| Configuration: RGCN / DTP | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 94.02(0.66)% Accuracy percent · higher Uncertainty: SD 0.66 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DTP: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DTP, column Domain |
| Configuration: GIN | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 94.41(0.17)% Accuracy percent · higher Uncertainty: SD 0.17 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGIN: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GIN, column Domain |
| Configuration: Shallow CNN / TS | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.58(0.50)% Accuracy percent · higher Uncertainty: SD 0.5 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / TS: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, TS, column Domain |
| Configuration: LSTM | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 92.78(1.16)% Accuracy percent · higher Uncertainty: SD 1.16 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLSTM: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Domain |
| Configuration: RGCN / TS | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 94.52(0.23)% Accuracy percent · higher Uncertainty: SD 0.23 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / TS: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, TS, column Domain |
| Configuration: GCN | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 94.38(0.51)% Accuracy percent · higher Uncertainty: SD 0.51 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGCN: SugarBase taxonomy · Domain Author-reported single-task models on the same held-out task; not a cross-paper ranking. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GCN, column Domain |
| Configuration: RGCN / UW | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.43(0.56)% Accuracy percent · higher Uncertainty: SD 0.56 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / UW: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, UW, column Domain |
| Configuration: Shallow CNN / N-MTL | Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain | 93.25(0.38)% Accuracy percent · higher Uncertainty: SD 0.38 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / N-MTL: SugarBase taxonomy · Domain Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, Shallow CNN, N-MTL, column Domain |
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6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Reported population: note Dataset split sizes, not per-model scored counts. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Domain Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Reported population: train validation test3 values
| GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Domain Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Source location Table 3, p. 8, Domain Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Domain Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Split SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Domain Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Description Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Domain Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Name SugarBase taxonomy · Domain Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Domain Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Release 2026-11-02-a7f03c9e55a5 · Record review: needs review
Stable ID: paper-dataset-ce710f303c24cb91c2