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: GAT | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 40.77(2.16)% Accuracy percent · higher Uncertainty: SD 2.16 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGAT: SugarBase taxonomy · Order 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 Order |
| Configuration: RGCN / DWA | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 45.77(1.03)% Accuracy percent · higher Uncertainty: SD 1.03 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DWA: SugarBase taxonomy · Order 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 Order |
| Configuration: Transformer | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 38.30(1.10)% Accuracy percent · higher Uncertainty: SD 1.1 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer: SugarBase taxonomy · Order 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 Order |
| Configuration: GIN | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 35.40(1.92)% Accuracy percent · higher Uncertainty: SD 1.92 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGIN: SugarBase taxonomy · Order 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 Order |
| Configuration: GCN | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 38.70(1.06)% Accuracy percent · higher Uncertainty: SD 1.06 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGCN: SugarBase taxonomy · Order 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 Order |
| Configuration: Shallow CNN / GN | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 48.13(1.21)% Accuracy percent · higher Uncertainty: SD 1.21 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / GN: SugarBase taxonomy · Order 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 Order |
| Configuration: RGCN / TS | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 50.63(0.33)% Accuracy percent · higher Uncertainty: SD 0.33 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / TS: SugarBase taxonomy · Order 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 Order |
| Configuration: Shallow CNN / UW | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 45.96(2.16)% Accuracy percent · higher Uncertainty: SD 2.16 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / UW: SugarBase taxonomy · Order 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 Order |
| Configuration: RGCN / DTP | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 46.17(0.70)% Accuracy percent · higher Uncertainty: SD 0.7 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DTP: SugarBase taxonomy · Order 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 Order |
| Configuration: ResNet | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 41.49(1.62)% Accuracy percent · higher Uncertainty: SD 1.62 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceResNet: SugarBase taxonomy · Order 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 Order |
| Configuration: Shallow CNN / N-MTL | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 47.62(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 / N-MTL: SugarBase taxonomy · Order 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 Order |
| Configuration: Shallow CNN | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 47.01(1.86)% Accuracy percent · higher Uncertainty: SD 1.86 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN: SugarBase taxonomy · Order 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 Order |
| Configuration: RGCN | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 47.91(2.07)% Accuracy percent · higher Uncertainty: SD 2.07 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN: SugarBase taxonomy · Order 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 Order |
| Configuration: CompGCN | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 45.77(0.85)% Accuracy percent · higher Uncertainty: SD 0.85 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCompGCN: SugarBase taxonomy · Order 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 Order |
| Configuration: Shallow CNN / DTP | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 46.50(1.24)% Accuracy percent · higher Uncertainty: SD 1.24 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DTP: SugarBase taxonomy · Order 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 Order |
| Configuration: Shallow CNN / DWA | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 45.85(3.02)% Accuracy percent · higher Uncertainty: SD 3.02 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DWA: SugarBase taxonomy · Order 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 Order |
| Configuration: LSTM | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 41.20(2.84)% Accuracy percent · higher Uncertainty: SD 2.84 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLSTM: SugarBase taxonomy · Order 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 Order |
| Configuration: Shallow CNN / TS | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 47.08(0.60)% Accuracy percent · higher Uncertainty: SD 0.6 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / TS: SugarBase taxonomy · Order 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 Order |
| Configuration: MPNN | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 45.85(0.87)% Accuracy percent · higher Uncertainty: SD 0.87 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMPNN: SugarBase taxonomy · Order 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 Order |
| Configuration: RGCN / N-MTL | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 47.99(1.75)% Accuracy percent · higher Uncertainty: SD 1.75 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / N-MTL: SugarBase taxonomy · Order 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 Order |
| Configuration: RGCN / GN | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 46.32(1.09)% Accuracy percent · higher Uncertainty: SD 1.09 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / GN: SugarBase taxonomy · Order 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 Order |
| Configuration: RGCN / UW | Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order | 48.28(1.42)% Accuracy percent · higher Uncertainty: SD 1.42 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / UW: SugarBase taxonomy · Order 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 Order |
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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, Order 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, Order 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, Order Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Order 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, Order 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, Order 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 · Order Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Order 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-4298ac38e85e6f8048