Strengths supported by sources
- Explicit linkage tokens allow the representation to include more than monosaccharide composition.matsui-lab/GlycanGT official source · README.md: Model architecture / Training details
model · family
GlycanGT
GlycanGT learns glycan representations with a graph transformer that treats both sugars and linkages as tokens.
At a glance
Explanatory profile: source reviewed · Automated source review, 2026-09-16. This does not change the review status of its results.
| Property | Description and evidence |
|---|---|
| Architecture | TokenGT-based graph transformermatsui-lab/GlycanGT official source · README.md: Model architecture / Training details |
| 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. |
How it works
Schematic of the documented input, computation and output; not an executable configuration.
Read the diagram as text
- Glycan graph
- Sugar and linkage tokens
- Graph transformer
- Graph embedding
- Classification or completion
Node and edge tokens include content, identifiers and token types. Transformer layers produce a graph-level embedding. Masked pretraining also supports prediction of missing glycan components.
matsui-lab/GlycanGT official source · README.md: Model architecture / Training detailsBenchmarks and results
Release 2026-09-16-d74d282221a9 · 0 evaluations · 0 metric rows. Different protocols are not a single leaderboard.
No evaluations linked in this release.
Strengths and limitations
Limitations and conditions
- The training collection excludes ambiguous symbols; completion predictions are hypotheses about missing structure, not experimental confirmation.matsui-lab/GlycanGT official source · README.md: Model architecture / Training details
Profile review details
Primary project documentation or paper inspected for the explanatory claims and cited locations. Reviewed coverage concerns this narrative, not complete metadata, independent reproduction or a performance ranking.
Stable record: discovery-model-glycangtApplicable tests and references
Applicability is distinct from a completed evaluation.
- GlycanML · Proposed association
Sources and history
Release 2026-09-16-d74d282221a9 · Record review: discovered
- matsui-lab/GlycanGT official source · Original source · 96611518c971deb89215ca163deaf9de3a59fa32
Technical metadata and extraction receipts
Stable ID: discovery-model-glycangt
- areas
- glycomics
- access
- official_source_linked
- benchmark applicability
- candidate; not evidence of a reported evaluation
- candidate benchmark ids
- discovery-benchmark-glycanml
- entity level
- family
- missing metadata
- checkpoint: unextracted; code licence: unextracted; parameters: unextracted; training cutoff: unextracted; training data: unextracted; version: unextracted; weights licence: unextracted
- reported name
- GlycanGT
- version
- Not reported
Related records
- applicable to: GlycanML