Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage.
10 evaluations · 10 results. Different protocols are not a single leaderboard.
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: LSTM | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.862(0.016) AUPRC unitless · higher Uncertainty: SD 0.016 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLSTM: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Immuno |
| Configuration: ResNet | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.754(0.124) AUPRC unitless · higher Uncertainty: SD 0.124 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceResNet: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row ResNet, column Immuno |
| Configuration: RGCN | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.780(0.006) AUPRC unitless · higher Uncertainty: SD 0.006 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row RGCN, column Immuno |
| Configuration: MPNN | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.674(0.119) AUPRC unitless · higher Uncertainty: SD 0.119 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMPNN: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row MPNN, column Immuno |
| Configuration: CompGCN | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.692(0.006) AUPRC unitless · higher Uncertainty: SD 0.006 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCompGCN: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row CompGCN, column Immuno |
| Configuration: Transformer | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.729(0.069) AUPRC unitless · higher Uncertainty: SD 0.069 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Transformer, column Immuno |
| Configuration: GIN | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.716(0.051) AUPRC unitless · higher Uncertainty: SD 0.051 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGIN: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GIN, column Immuno |
| Configuration: GCN | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.688(0.023) AUPRC unitless · higher Uncertainty: SD 0.023 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGCN: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GCN, column Immuno |
| Configuration: GAT | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.685(0.053) AUPRC unitless · higher Uncertainty: SD 0.053 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGAT: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GAT, column Immuno |
| Configuration: Shallow CNN | Protocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction) Dataset: SugarBase immunogenicity · Immuno | 0.776(0.267) AUPRC unitless · higher Uncertainty: SD 0.267 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN: SugarBase immunogenicity · Immuno Author-reported single-task models on the same held-out task; not a cross-paper ranking. Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Aggregation: Not reported GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Shallow CNN, column Immuno |
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6 evidence rows matching the loaded filters
| Property and statement | Original source and location | Review and provenance |
|---|---|---|
| Reported 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 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Reported population: train validation test3 values
| GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Source location Table 3, p. 8, Immuno Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Split Taxonomy, immunogenicity and glycosylation: motif-frequency K-means cluster allocation 8:1:1. Interaction: MMseqs2 protein clusters at minimum identity 0.5 allocated 8:1:1. Exact counts are attached to each column. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Description Dataset and cohort used in the cited comparison. Dataset population counts do not establish successful prediction coverage. Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
| Name SugarBase immunogenicity · Immuno Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Immuno Version: arXiv:2405.16206v1, 2024-05-25 | not individually reviewed No individual claim review recorded Audit detailsField: Source artifact SHA-256: Hash scope: Exact retrieved primary paper artifact bytes. |
Release 2026-11-02-a7f03c9e55a5 · Record review: needs review
Stable ID: paper-dataset-dfa9efa0038fe35cf1