Configuration

RGCN / UW

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

Sources

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

Overview

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

9 evaluations · 9 results. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
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: type: standard_deviation; value: 0.41; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source RGCN / 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 / UW	Protocol: SugarBase taxonomy · Kingdom (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Kingdom	91.77(0.23)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.23; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source RGCN / UW: SugarBase taxonomy · Kingdom 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 Kingdom
Configuration: RGCN / UW	Protocol: SugarBase taxonomy · Mean Acc (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Mean Acc	64.90(0.39)% mean accuracy across eight taxonomy tasks percent · higher Uncertainty: type: standard_deviation; value: 0.39; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source RGCN / UW: SugarBase taxonomy · Mean Acc 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 Mean Acc (%)
Configuration: RGCN / UW	Protocol: SugarBase taxonomy · Genus (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Genus	42.15(0.71)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.71; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source RGCN / UW: SugarBase taxonomy · Genus 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 Genus
Configuration: RGCN / UW	Protocol: SugarBase taxonomy · Class (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Class	73.45(1.61)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.61; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source RGCN / UW: SugarBase taxonomy · Class 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 Class
Configuration: RGCN / UW	Protocol: SugarBase taxonomy · Family (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Family	44.90(0.88)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.88; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source RGCN / UW: SugarBase taxonomy · Family 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 Family
Configuration: RGCN / UW	Protocol: SugarBase taxonomy · Species (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Species	39.61(0.89)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.89; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source RGCN / UW: SugarBase taxonomy · Species 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 Species
Configuration: RGCN / UW	Protocol: SugarBase taxonomy · Domain (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Domain	93.43(0.56)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 0.56; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source RGCN / UW: SugarBase taxonomy · Domain 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 Domain
Configuration: RGCN / UW	Protocol: SugarBase taxonomy · Order (GlycanML taxonomy prediction) Dataset: SugarBase taxonomy · Order	48.28(1.42)% accuracy percent · higher Uncertainty: type: standard_deviation; value: 1.42; n: 3; unit: same_as_metric Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source RGCN / 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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Backbone: RGCN; adaptation: UW.

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

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Stable record: paper-model-0e24eccf77ebb8d83f

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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.

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Claims, original sources and review scope · Release 2026-09-29-06401fd5b220
Property and statement	Original source and location	Review and provenance
Evaluation in this paper Backbone: RGCN; adaptation: UW. Individual claims	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Original source ↗ Table 4, RGCN, UW, 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 / UW as evaluated in the cited study. Backbone: RGCN; adaptation: UW. Individual claims	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Original source ↗ Table 4, RGCN, UW, 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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Release 2026-09-29-06401fd5b220 · Record review: needs review

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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-0e24eccf77ebb8d83f

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

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