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: Shallow CNN | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.261(0.008) Spearman unitless · higher Uncertainty: SD 0.008 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceShallow CNN: LectinOracle interaction · Interaction 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 Interaction |
| Configuration: GAT | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.229(0.002) Spearman unitless · higher Uncertainty: SD 0.002 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGAT: LectinOracle interaction · Interaction 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 Interaction |
| Configuration: GIN | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.249(0.004) Spearman unitless · higher Uncertainty: SD 0.004 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGIN: LectinOracle interaction · Interaction 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 Interaction |
| Configuration: LSTM | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.280(0.001) Spearman unitless · higher Uncertainty: SD 0.001 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceLSTM: LectinOracle interaction · Interaction 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 Interaction |
| Configuration: CompGCN | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.257(0.004) Spearman unitless · higher Uncertainty: SD 0.004 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCompGCN: LectinOracle interaction · Interaction 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 Interaction |
| Configuration: ResNet | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.273(0.004) Spearman unitless · higher Uncertainty: SD 0.004 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceResNet: LectinOracle interaction · Interaction 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 Interaction |
| Configuration: Transformer | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.244(0.009) Spearman unitless · higher Uncertainty: SD 0.009 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceTransformer: LectinOracle interaction · Interaction 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 Interaction |
| Configuration: GCN | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.233(0.009) Spearman unitless · higher Uncertainty: SD 0.009 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceGCN: LectinOracle interaction · Interaction 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 Interaction |
| Configuration: MPNN | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.217(0.002) Spearman unitless · higher Uncertainty: SD 0.002 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceMPNN: LectinOracle interaction · Interaction 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 Interaction |
| Configuration: RGCN | Protocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction) Dataset: LectinOracle interaction · Interaction | 0.262(0.005) Spearman unitless · higher Uncertainty: SD 0.005 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceRGCN: LectinOracle interaction · Interaction 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 Interaction |
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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, Interaction 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, Interaction 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, Interaction Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Interaction 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, Interaction 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, Interaction 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 LectinOracle interaction · Interaction Context-only references | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Table 3, p. 8, Interaction 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-cc0cb44a535d3e0e7a