Configuration

RGCN / TS

RGCN / TS as evaluated in the cited study. Backbone: RGCN; adaptation: TS.

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, TS, column Domain

At a glance

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.

How it works

Evaluation in this paper

Backbone: RGCN; adaptation: TS.

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 4, RGCN, TS, column Domain

Evaluations and results

Release 2026-09-17-d277315f7d76 · 9 evaluations · 9 metric rows. Different protocols are not a single leaderboard.

Evaluation setupMetricEvidence origin

Results grouped by the exact reported evaluation
Metric and finding	Coverage and uncertainty	Evidence
RGCN / TS: SugarBase taxonomy · Mean Acc Configuration: RGCN / TSProtocol: 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
66.68(0.23)% mean accuracy across eight taxonomy tasks Unit: percent · Direction: higher	Uncertainty: type: standard deviation; value: 0.23; 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, TS, column Mean Acc (%) Source checking is not independent reproduction.
RGCN / TS: SugarBase taxonomy · Class Configuration: RGCN / TSProtocol: 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
73.88(1.69)% accuracy Unit: percent · Direction: higher	Uncertainty: type: standard deviation; value: 1.69; 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, TS, column Class Source checking is not independent reproduction.
RGCN / TS: SugarBase taxonomy · Order Configuration: RGCN / TSProtocol: 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
50.63(0.33)% accuracy Unit: percent · Direction: higher	Uncertainty: type: standard deviation; value: 0.33; 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, TS, column Order Source checking is not independent reproduction.
RGCN / TS: SugarBase taxonomy · Species Configuration: RGCN / TSProtocol: 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
43.31(0.29)% accuracy Unit: percent · Direction: higher	Uncertainty: type: standard deviation; value: 0.29; 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, TS, column Species Source checking is not independent reproduction.
RGCN / TS: SugarBase taxonomy · Phylum Configuration: RGCN / TSProtocol: 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
86.62(0.86)% accuracy Unit: percent · Direction: higher	Uncertainty: type: standard deviation; value: 0.86; 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, TS, column Phylum Source checking is not independent reproduction.
RGCN / TS: SugarBase taxonomy · Family Configuration: RGCN / TSProtocol: 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
47.99(0.22)% accuracy Unit: percent · Direction: higher	Uncertainty: type: standard deviation; value: 0.22; 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, TS, column Family Source checking is not independent reproduction.
RGCN / TS: SugarBase taxonomy · Kingdom Configuration: RGCN / TSProtocol: 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
91.62(0.78)% accuracy Unit: percent · Direction: higher	Uncertainty: type: standard deviation; value: 0.78; 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, TS, column Kingdom Source checking is not independent reproduction.
RGCN / TS: SugarBase taxonomy · Domain Configuration: RGCN / TSProtocol: 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
94.52(0.23)% accuracy Unit: percent · Direction: higher	Uncertainty: type: standard deviation; value: 0.23; 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, TS, column Domain Source checking is not independent reproduction.
RGCN / TS: SugarBase taxonomy · Genus Configuration: RGCN / TSProtocol: 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
44.87(0.72)% accuracy Unit: percent · Direction: higher	Uncertainty: type: standard deviation; value: 0.72; 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, TS, column Genus Source checking is not independent reproduction.

Strengths and limitations

Strengths and considerations

No source-reviewed explanatory claims are recorded here yet.

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-98efab1c6b206d3623

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.

2 evidence rows matching the loaded filters

Claims, original sources and review scope · Release 2026-09-17-d277315f7d76
Property and statement	Original source and location	Review and provenance
Evaluation in this paper Backbone: RGCN; adaptation: TS. Individual claims	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Original source ↗ Table 4, RGCN, TS, column Domain Version: arXiv:2405.16206v1, 2024-05-25 Retrieved: 2026-09-16T21:04:56.017006+00:00	source checked automated source review · 2026-09-17 Audit details Primary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: `attributes.profile.sections.0.body` Source artifact SHA-256: `9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Introduction RGCN / TS as evaluated in the cited study. Backbone: RGCN; adaptation: TS. Individual claims	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Original source ↗ Table 4, RGCN, TS, column Domain Version: arXiv:2405.16206v1, 2024-05-25 Retrieved: 2026-09-16T21:04:56.017006+00:00	source checked automated source review · 2026-09-17 Audit details Primary-source transcription and separate automated review. No human sign-off or experimental reproduction. Field: `attributes.profile.summary` Source artifact SHA-256: `9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact

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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

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Technical metadata and extraction receipts

Stable ID: paper-model-98efab1c6b206d3623

areas: glycomics
entity level: method
configuration type: reported_configuration
version: Backbone: RGCN; adaptation: TS.
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, TS, 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 / TS: SugarBase taxonomy · Domain
model: RGCN / TS: SugarBase taxonomy · Kingdom
model: RGCN / TS: SugarBase taxonomy · Mean Acc
model: RGCN / TS: SugarBase taxonomy · Phylum
model: RGCN / TS: SugarBase taxonomy · Family
model: RGCN / TS: SugarBase taxonomy · Order
model: RGCN / TS: SugarBase taxonomy · Species
model: RGCN / TS: SugarBase taxonomy · Genus
model: RGCN / TS: SugarBase taxonomy · Class

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