Strengths and considerations
No source-reviewed explanatory claims are recorded here yet.
Configuration
RGCN / DWA
RGCN / DWA as evaluated in the cited study. Backbone: RGCN; adaptation: DWA.
Sources
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DWA, column DomainAt a glance
Key specifications have not been extracted for this record. See the linked evaluation and sources for the reported setup.
limited source coverage · Automated source review, 2026-09-17. All specifications and missing details
Evaluations and results
Release 2026-09-17-d277315f7d76 · 9 evaluations · 9 metric rows. Different protocols are not a single leaderboard.
| Metric and finding | Coverage and uncertainty | Evidence |
|---|---|---|
| RGCN / DWA: SugarBase taxonomy · Order Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Order 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 | ||
| 45.77(1.03)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 1.03; 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 Order Source checking is not independent reproduction. |
| RGCN / DWA: SugarBase taxonomy · Phylum Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Phylum (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Phylum 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 | ||
| 86.43(1.27)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 1.27; 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 Phylum Source checking is not independent reproduction. |
| 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. |
| RGCN / DWA: SugarBase taxonomy · Family Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Family 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 | ||
| 44.11(1.24)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 1.24; 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 Family Source checking is not independent reproduction. |
| RGCN / DWA: SugarBase taxonomy · Class Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Class (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Class 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 | ||
| 69.42(1.25)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 1.25; 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 Class Source checking is not independent reproduction. |
| RGCN / DWA: SugarBase taxonomy · Genus Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Genus (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Genus 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 | ||
| 40.08(0.93)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.93; 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 Genus Source checking is not independent reproduction. |
| RGCN / DWA: SugarBase taxonomy · Species Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Species 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 | ||
| 37.47(0.44)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.44; 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 Species Source checking is not independent reproduction. |
| RGCN / DWA: SugarBase taxonomy · Kingdom Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Kingdom (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Kingdom 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 | ||
| 91.80(1.11)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 1.11; 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 Kingdom Source checking is not independent reproduction. |
| RGCN / DWA: SugarBase taxonomy · Domain Configuration: RGCN / DWAProtocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction)Dataset: SugarBase taxonomy · Domain 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 | ||
| 94.09(0.50)% accuracy Unit: percent · Direction: higher | Uncertainty: type: standard deviation; value: 0.5; 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 Domain Source checking is not independent reproduction. |
How it works
Evaluation in this paper
Backbone: RGCN; adaptation: DWA.
Sources
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, DWA, column DomainStrengths and limitations
Limitations and conditions
No source-reviewed explanatory claims are recorded here yet.
Profile review details
Primary-source transcription and separate automated review. No human sign-off or experimental reproduction.
Stable record: paper-model-a8f9858f90fb3437bcSpecifications
Inputs, training, access and other details
Explanatory profile: limited source coverage · Automated source review, 2026-09-17. Review applies to the cited claims; unresolved fields are listed below. Numerical results retain their own review status.
| Property | Description and evidence |
|---|---|
| Model type | Not extracted or verified for this record. |
| Inputs | Not extracted or verified for this record. |
| Outputs | Not extracted or verified for this record. |
| Parameters | Not extracted or verified for this record. |
| Known versions | Not extracted or verified for this record. |
| Training data | Not extracted or verified for this record. |
| Context limits | Not extracted or verified for this record. |
| Access | Not extracted or verified for this record. |
| Code licence | Not extracted or verified for this record. |
| Weights licence | Not extracted or verified for this record. |
Evidence table
Inspect claims, sources and review details
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.
2 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Evaluation in this paper Backbone: RGCN; adaptation: DWA. Individual claims | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, RGCN, DWA, column Domain Version: arXiv:2405.16206v1, 2024-05-25 | source checked automated source review · 2026-09-17 Audit detailsPrimary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Introduction RGCN / DWA as evaluated in the cited study. Backbone: RGCN; adaptation: DWA. Individual claims | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 4, RGCN, DWA, column Domain Version: arXiv:2405.16206v1, 2024-05-25 | source checked automated source review · 2026-09-17 Audit detailsPrimary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Sources and history
Release 2026-09-17-d277315f7d76 · Record review: needs review
1 source records and release history
- 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-model-a8f9858f90fb3437bc
- areas
- glycomics
- entity level
- method
- configuration type
- reported_configuration
- version
- Backbone: RGCN; adaptation: DWA.
- legacy kinds
- model
- entity classification
- review date: 2026-09-17; rationale: This source-scoped entry preserves the method/configuration actually named in an evaluation. It is neither a global family identity nor proof of an immutable checkpoint; the linked evaluation retains adaptation, fitting and scoring details.; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 4, RGCN, DWA, column Domain; ambiguities: Configuration means the source-labelled evaluated identity. It does not establish missing checkpoint hashes, default settings or equivalence to same-named records in other papers.
Related records
- model: RGCN / DWA: SugarBase taxonomy · Domain
- model: RGCN / DWA: SugarBase taxonomy · Order
- model: RGCN / DWA: SugarBase taxonomy · Genus
- model: RGCN / DWA: SugarBase taxonomy · Mean Acc
- model: RGCN / DWA: SugarBase taxonomy · Phylum
- model: RGCN / DWA: SugarBase taxonomy · Species
- model: RGCN / DWA: SugarBase taxonomy · Class
- model: RGCN / DWA: SugarBase taxonomy · Kingdom
- model: RGCN / DWA: SugarBase taxonomy · Family