Protocol

SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)

GlycanML Immuno · Table 3, p. 8. 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.

Sources

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, p. 8, Immuno

10 evaluations · 10 metric rows

At a glance

Inputs, training, access and other details

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.

Data, procedure and scoring
Property	Description and evidence
Datasets	Not extracted or verified for this record.
Organisms	Not extracted or verified for this record.
Assays	Not extracted or verified for this record.
Splits	Not extracted or verified for this record.
Allowed inputs	Not extracted or verified for this record.
Adaptation	Not extracted or verified for this record.
Metrics	Not extracted or verified for this record.
Baselines	Not extracted or verified for this record.

How it works

Evaluation in this paper

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.

Sources

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, p. 8, Immuno

Evaluation design

Benchmarks bring together tasks and protocols. A task describes the biological question; a protocol defines a particular test.

Benchmarks

GlycanML

Tasks

GlycanML immunogenicity prediction

These source-backed links do not make different protocols or scores interchangeable.

Recorded evaluations

Each evaluation records what was tested and under which conditions.

Published comparisons

Explore the results reported under one evaluation protocol. Each figure keeps its source, dataset and metric together; it is not a ranking across studies.

Comparison and metric

GlycanML Immuno · Table 3, p. 8

AUPRC (dimensionless) · Higher values are better for this metric.

Evaluation protocol · SugarBase immunogenicity · Immuno

Shallow CNN · Configuration · Author-reported evaluation0.776(0.267)
ResNet · Configuration · Author-reported evaluation0.754(0.124)
LSTM · Configuration · Author-reported evaluation0.862(0.016)
Transformer · Configuration · Author-reported evaluation0.729(0.069)
GCN · Configuration · Author-reported evaluation0.688(0.023)
GAT · Configuration · Author-reported evaluation0.685(0.053)
GIN · Configuration · Author-reported evaluation0.716(0.051)
MPNN · Configuration · Author-reported evaluation0.674(0.119)
RGCN · Configuration · Author-reported evaluation0.780(0.006)
CompGCN · Configuration · Author-reported evaluation0.692(0.006)

Source order is preserved. Plotted marks show point estimates; uncertainty, where reported, is retained in the printed values and table. Differences do not establish statistical significance.

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, p. 8, Immuno

Values, uncertainty and evidence

AUPRC: original source values
Tested entity	Printed value	Uncertainty	Evidence
Shallow CNN · Configuration	0.776(0.267) dimensionless	type: standard_deviation; value: 0.267; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Shallow CNN, column Immuno
ResNet · Configuration	0.754(0.124) dimensionless	type: standard_deviation; value: 0.124; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row ResNet, column Immuno
LSTM · Configuration	0.862(0.016) dimensionless	type: standard_deviation; value: 0.016; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row LSTM, column Immuno
Transformer · Configuration	0.729(0.069) dimensionless	type: standard_deviation; value: 0.069; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row Transformer, column Immuno
GCN · Configuration	0.688(0.023) dimensionless	type: standard_deviation; value: 0.023; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GCN, column Immuno
GAT · Configuration	0.685(0.053) dimensionless	type: standard_deviation; value: 0.053; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GAT, column Immuno
GIN · Configuration	0.716(0.051) dimensionless	type: standard_deviation; value: 0.051; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row GIN, column Immuno
MPNN · Configuration	0.674(0.119) dimensionless	type: standard_deviation; value: 0.119; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row MPNN, column Immuno
RGCN · Configuration	0.780(0.006) dimensionless	type: standard_deviation; value: 0.006; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row RGCN, column Immuno
CompGCN · Configuration	0.692(0.006) dimensionless	type: standard_deviation; value: 0.006; n: 3; unit: same_as_metric	Author-reported evaluation · source checkedGlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning · Table 3, row CompGCN, column Immuno

Scope and limitations

Taxonomic levels are distinct tasks; do not combine raw accuracy across levels.
Protein–glycan scores evaluate combined glycan encoders plus ESM-1b/MLP, not an ESM-1b standalone checkpoint.
Cluster manifests and trained checkpoint hashes are not enumerated in the paper table.

Source transcription and grouping reviewed by automated source review on 2026-09-17. These experiments were not independently reproduced by rewire.

Tested entities and results

Release 2026-09-17-d277315f7d76 · 10 evaluations · 10 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
LSTM: SugarBase immunogenicity · Immuno Configuration: LSTMProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.862(0.016) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.016; 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 3, row LSTM, column Immuno Source checking is not independent reproduction.
ResNet: SugarBase immunogenicity · Immuno Configuration: ResNetProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.754(0.124) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.124; 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 3, row ResNet, column Immuno Source checking is not independent reproduction.
RGCN: SugarBase immunogenicity · Immuno Configuration: RGCNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.780(0.006) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.006; 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 3, row RGCN, column Immuno Source checking is not independent reproduction.
MPNN: SugarBase immunogenicity · Immuno Configuration: MPNNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.674(0.119) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.119; 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 3, row MPNN, column Immuno Source checking is not independent reproduction.
CompGCN: SugarBase immunogenicity · Immuno Configuration: CompGCNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.692(0.006) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.006; 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 3, row CompGCN, column Immuno Source checking is not independent reproduction.
Transformer: SugarBase immunogenicity · Immuno Configuration: TransformerProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.729(0.069) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.069; 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 3, row Transformer, column Immuno Source checking is not independent reproduction.
GIN: SugarBase immunogenicity · Immuno Configuration: GINProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.716(0.051) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.051; 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 3, row GIN, column Immuno Source checking is not independent reproduction.
GCN: SugarBase immunogenicity · Immuno Configuration: GCNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.688(0.023) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.023; 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 3, row GCN, column Immuno Source checking is not independent reproduction.
GAT: SugarBase immunogenicity · Immuno Configuration: GATProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.685(0.053) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.053; 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 3, row GAT, column Immuno Source checking is not independent reproduction.
Shallow CNN: SugarBase immunogenicity · Immuno Configuration: Shallow CNNProtocol: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.776(0.267) AUPRC Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.267; 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 3, row Shallow CNN, column Immuno Source checking is not independent reproduction.

Papers and result coverage

Last literature check: 2026-09-17. Primary-paper within-study comparison; numerical results not independently reproduced.

Paper or primary resource	Version	Reference
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning	arXiv:2405.16206v1, 2024-05-25	Read source

What is still missing

Paper table does not enumerate trained checkpoint hashes; source configuration names retained.

Search and extraction details

complete comparison extracted

Searches

GlycanML benchmark 2405.16206

Evidence locations

Table 3, p. 8, Immuno

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-protocol-705c3995af4e74e425

Evidence table

Inspect claims, sources and review details

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.

4 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 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. Individual claims	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Original source ↗ Table 3, p. 8, Immuno 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 GlycanML Immuno · Table 3, p. 8. 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. Individual claims	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Original source ↗ Table 3, p. 8, Immuno 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
Relationship: evaluates task discovery-benchmark-glycanml-immunogenicity-prediction Individual claims	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Original source ↗ Table 3, p. 8, Immuno 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 Field: `links:evaluates_task:discovery-benchmark-glycanml-immunogenicity-prediction` Claim: paper-claim-b17176c99f67cfc285 Source artifact SHA-256: `9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact
Relationship: part of discovery-benchmark-glycanml Individual claims	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Original source ↗ Table 3, p. 8, Immuno 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 Field: `links:part_of:discovery-benchmark-glycanml` Claim: paper-claim-078c2ab996e6a51a6a Source artifact SHA-256: `9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact

All evidence (CSV)All evidence (JSONL)How to read the evidence

Sources and history

Release 2026-09-17-d277315f7d76 · Record review: needs review

1 source records and release history

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-protocol-705c3995af4e74e425

areas: glycomics
entity level: protocol
protocol: 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.
comparison panels: id: glycanml-v1-single-immuno; title: GlycanML Immuno · Table 3, p. 8; protocol id: paper-protocol-705c3995af4e74e425; dataset id: paper-dataset-dfa9efa0038fe35cf1; metric: AUPRC; unit: dimensionless; direction: higher; result ids: paper-result-daed94f39b26d6bf9f; paper-result-14cf9ecb36e308a19c; paper-result-0f0c6ac7d2490faded; paper-result-a6f2c25189be55752b; paper-result-c3c413b66dd284a72c; paper-result-cfb7d3096516691659; paper-result-c17bcd75195fbd91e3; paper-result-76c0f9b5fb05a8b66f; paper-result-316c3afd5495e9cc25; paper-result-8afa28bb629f98ba97; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 3, p. 8, Immuno; context: 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.; caveats: Taxonomic levels are distinct tasks; do not combine raw accuracy across levels.; Protein–glycan scores evaluate combined glycan encoders plus ESM-1b/MLP, not an ESM-1b standalone checkpoint.; Cluster manifests and trained checkpoint hashes are not enumerated in the paper table.; review: method: automated_source_review; date: 2026-09-17
benchmark research: review date: 2026-09-17; status: complete_comparison_extracted; primary sources: expansion-p3-glycanml-2405-16206v1; inspected locators: Table 3, p. 8, Immuno; searched queries: GlycanML benchmark 2405.16206; gaps: Paper table does not enumerate trained checkpoint hashes; source configuration names retained.; claim scope: Primary-paper within-study comparison; numerical results not independently reproduced.
legacy kinds: benchmark
entity classification: review date: 2026-09-17; rationale: The source-backed record identifies a specified evaluated procedure and its dataset/split/scoring context. Classify it as a protocol while preserving version and comparison restrictions.; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 3, p. 8, Immuno; ambiguities: None recorded

Related records

evaluates task: GlycanML immunogenicity prediction
part of: GlycanML
subject: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction): links:part_of:discovery-benchmark-glycanml
subject: SugarBase immunogenicity · Immuno (GlycanML immunogenicity prediction): links:evaluates_task:discovery-benchmark-glycanml-immunogenicity-prediction
benchmark: GIN: SugarBase immunogenicity · Immuno
benchmark: LSTM: SugarBase immunogenicity · Immuno
benchmark: Transformer: SugarBase immunogenicity · Immuno
benchmark: CompGCN: SugarBase immunogenicity · Immuno
benchmark: GAT: SugarBase immunogenicity · Immuno
benchmark: RGCN: SugarBase immunogenicity · Immuno
benchmark: MPNN: SugarBase immunogenicity · Immuno
benchmark: GCN: SugarBase immunogenicity · Immuno
benchmark: Shallow CNN: SugarBase immunogenicity · Immuno
benchmark: ResNet: SugarBase immunogenicity · Immuno

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