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: RGCN / UW | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 85.60(0.41)% Accuracy percent · higher Uncertainty: SD 0.41 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / UW: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: RGCN / DWA | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 86.43(1.27)% Accuracy percent · higher Uncertainty: SD 1.27 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DWA: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: MPNN | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 82.48(0.94)% Accuracy percent · higher Uncertainty: SD 0.94 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMPNN: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: GIN | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 84.04(1.07)% Accuracy percent · higher Uncertainty: SD 1.07 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGIN: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: GAT | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 80.81(0.60)% Accuracy percent · higher Uncertainty: SD 0.6 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGAT: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: RGCN / GN | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 85.38(0.66)% Accuracy percent · higher Uncertainty: SD 0.66 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / GN: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: Shallow CNN / DWA | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 84.73(0.77)% Accuracy percent · higher Uncertainty: SD 0.77 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DWA: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: RGCN / TS | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 86.62(0.86)% Accuracy percent · higher Uncertainty: SD 0.86 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / TS: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: RGCN | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 86.94(0.78)% Accuracy percent · higher Uncertainty: SD 0.78 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: GCN | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 80.30(0.44)% Accuracy percent · higher Uncertainty: SD 0.44 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGCN: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: Shallow CNN | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 86.87(0.71)% Accuracy percent · higher Uncertainty: SD 0.71 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: RGCN / DTP | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 85.09(0.86)% Accuracy percent · higher Uncertainty: SD 0.86 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / DTP: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: Shallow CNN / N-MTL | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 84.77(0.47)% Accuracy percent · higher Uncertainty: SD 0.47 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / N-MTL: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: Shallow CNN / TS | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 85.24(0.62)% Accuracy percent · higher Uncertainty: SD 0.62 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / TS: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: Shallow CNN / UW | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 85.56(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 · Phylum 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 Phylum |
| Configuration: Shallow CNN / GN | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 84.95(0.69)% Accuracy percent · higher Uncertainty: SD 0.69 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / GN: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: Shallow CNN / DTP | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 83.71(0.06)% Accuracy percent · higher Uncertainty: SD 0.06 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN / DTP: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: Transformer | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 80.49(1.91)% Accuracy percent · higher Uncertainty: SD 1.91 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: LSTM | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 81.61(1.36)% Accuracy percent · higher Uncertainty: SD 1.36 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLSTM: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: ResNet | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 81.32(3.16)% Accuracy percent · higher Uncertainty: SD 3.16 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceResNet: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: CompGCN | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 86.40(0.76)% Accuracy percent · higher Uncertainty: SD 0.76 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCompGCN: SugarBase taxonomy · Phylum 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 Phylum |
| Configuration: RGCN / N-MTL | Protocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Phylum | 85.75(2.57)% Accuracy percent · higher Uncertainty: SD 2.57 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN / N-MTL: SugarBase taxonomy · Phylum 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 Phylum |
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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, Phylum 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, Phylum 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, Phylum Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Phylum 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, Phylum 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, Phylum 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 · Phylum Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Phylum 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-13c71587fb39174bb1