RGCN / DWA: SugarBase taxonomy · Mean Acc
Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1.
Evaluation procedure
Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1.
- Configuration
- RGCN / DWA
- Protocol
- SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)
- Dataset
- SugarBase taxonomy · Mean Acc
- origin
- Author-reported evaluation
- configuration
- Backbone: RGCN; adaptation: DWA.
- protocol id
- paper-protocol-f6058db65ace02f920
- dataset version
- Not reported
- split
- SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1.
- subset
- Not reported
- population
- train validation test: Not reported; note: Dataset split sizes, not per-model scored counts.
- aggregation
- Mean and standard deviation across seeds 0, 1, 2.
- inputs
- Not reported
- adaptation
- Backbone: RGCN; adaptation: DWA.
- budget
- Not reported
- metric implementation
- Not reported
Metadata review: needs review. Unreported conditions prevent automatic comparisons.
Evaluation results
Release 2026-09-17-d277315f7d76 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| RGCN / DWA: SugarBase taxonomy · Mean Acc Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Mean Acc Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1. Author-reported evaluation · Evaluation metadata: needs review | ||
| 63.65(0.25)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.25; n: 3; unit: same as metric Scored: Not reported · Eligible: Not reported | source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DWA, column Mean Acc (%) Source checking is not independent reproduction. |
Evidence table
Trace each statement to its source and review. A context-only reference supports the record generally; it does not verify an individual field. Source checking does not reproduce an experiment.
One row per statement and cited source. Multiple citations are not independent evaluations. Shared locators are labelled explicitly.
20 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| attributes.comparison.adaptation Backbone: RGCN; adaptation: DWA. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.aggregation Mean and standard deviation across seeds 0, 1, 2. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.budget No value recorded Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.dataset_version No value recorded Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.inputs No value recorded Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.metric_implementation No value recorded Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.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 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.population.train_validation_test No value recorded Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | missing or unspecified No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.protocol_id paper-protocol-f6058db65ace02f920 Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| attributes.comparison.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 4, p. 9, Mean Acc (%) Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded author reported Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
Release 2026-09-17-d277315f7d76 · Record review: needs review
- GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Original source · arXiv:2405.16206v1, 2024-05-25
Technical metadata and extraction receipts
Stable ID: paper-evaluation-2e6dba26b9ce4b3325
- areas
- glycomics
- origin
- author_reported
- protocol
- Fixed backbone; compare adaptation strategies, not standalone foundation models. SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1.
- version
- Backbone: RGCN; adaptation: DWA.
- comparison
- protocol id: paper-protocol-f6058db65ace02f920; dataset version: Not reported; split: SugarBase taxonomy: motif-frequency K-means cluster allocation 8:1:1.; subset: Not reported; population: train validation test: Not reported; note: Dataset split sizes, not per-model scored counts.; aggregation: Mean and standard deviation across seeds 0, 1, 2.; inputs: Not reported; adaptation: Backbone: RGCN; adaptation: DWA.; budget: Not reported; metric implementation: Not reported
- source locator
- Table 4, p. 9, Mean Acc (%)
- missing metadata
- checkpoint revision: unextracted; budget: unreported; split manifest: unextracted