Protocol

LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)

GlycanML Interaction · 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, Interaction

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, Interaction

Evaluation design

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

Benchmarks

GlycanML

Tasks

GlycanML protein-glycan interaction 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 Interaction · Table 3, p. 8

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

Evaluation protocol · LectinOracle interaction · Interaction

Shallow CNN · Configuration · Author-reported evaluation0.261(0.008)
ResNet · Configuration · Author-reported evaluation0.273(0.004)
LSTM · Configuration · Author-reported evaluation0.280(0.001)
Transformer · Configuration · Author-reported evaluation0.244(0.009)
GCN · Configuration · Author-reported evaluation0.233(0.009)
GAT · Configuration · Author-reported evaluation0.229(0.002)
GIN · Configuration · Author-reported evaluation0.249(0.004)
MPNN · Configuration · Author-reported evaluation0.217(0.002)
RGCN · Configuration · Author-reported evaluation0.262(0.005)
CompGCN · Configuration · Author-reported evaluation0.257(0.004)

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, Interaction

Values, uncertainty and evidence

Spearman rho: original source values
Tested entity	Printed value	Uncertainty	Evidence
Shallow CNN · Configuration	0.261(0.008) dimensionless	type: standard_deviation; value: 0.008; 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 Interaction
ResNet · Configuration	0.273(0.004) dimensionless	type: standard_deviation; value: 0.004; 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 Interaction
LSTM · Configuration	0.280(0.001) dimensionless	type: standard_deviation; value: 0.001; 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 Interaction
Transformer · Configuration	0.244(0.009) dimensionless	type: standard_deviation; value: 0.009; 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 Interaction
GCN · Configuration	0.233(0.009) dimensionless	type: standard_deviation; value: 0.009; 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 Interaction
GAT · Configuration	0.229(0.002) dimensionless	type: standard_deviation; value: 0.002; 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 Interaction
GIN · Configuration	0.249(0.004) dimensionless	type: standard_deviation; value: 0.004; 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 Interaction
MPNN · Configuration	0.217(0.002) dimensionless	type: standard_deviation; value: 0.002; 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 Interaction
RGCN · Configuration	0.262(0.005) dimensionless	type: standard_deviation; value: 0.005; 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 Interaction
CompGCN · Configuration	0.257(0.004) dimensionless	type: standard_deviation; value: 0.004; 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 Interaction

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
Shallow CNN: LectinOracle interaction · Interaction Configuration: Shallow CNNProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.261(0.008) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.008; 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 Interaction Source checking is not independent reproduction.
GAT: LectinOracle interaction · Interaction Configuration: GATProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.229(0.002) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.002; 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 Interaction Source checking is not independent reproduction.
GIN: LectinOracle interaction · Interaction Configuration: GINProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.249(0.004) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.004; 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 Interaction Source checking is not independent reproduction.
LSTM: LectinOracle interaction · Interaction Configuration: LSTMProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.280(0.001) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.001; 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 Interaction Source checking is not independent reproduction.
CompGCN: LectinOracle interaction · Interaction Configuration: CompGCNProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.257(0.004) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.004; 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 Interaction Source checking is not independent reproduction.
ResNet: LectinOracle interaction · Interaction Configuration: ResNetProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.273(0.004) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.004; 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 Interaction Source checking is not independent reproduction.
Transformer: LectinOracle interaction · Interaction Configuration: TransformerProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.244(0.009) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.009; 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 Interaction Source checking is not independent reproduction.
GCN: LectinOracle interaction · Interaction Configuration: GCNProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.233(0.009) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.009; 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 Interaction Source checking is not independent reproduction.
MPNN: LectinOracle interaction · Interaction Configuration: MPNNProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.217(0.002) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.002; 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 Interaction Source checking is not independent reproduction.
RGCN: LectinOracle interaction · Interaction Configuration: RGCNProtocol: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction)Dataset: 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. Author-reported evaluation · Evaluation metadata: needs review
0.262(0.005) Spearman rho Unit: dimensionless · Direction: higher	Uncertainty: type: standard deviation; value: 0.005; 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 Interaction 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, Interaction

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-e914e4149f3b3c8185

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, Interaction 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 Interaction · 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, Interaction 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-protein-glycan-interaction-prediction Individual claims	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Original source ↗ Table 3, p. 8, Interaction 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-protein-glycan-interaction-prediction` Claim: paper-claim-3cb2e3444588089bc1 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, Interaction 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-638042e029c2400c15 Source artifact SHA-256: `9ba3db678b4550898a612b42e8832bf9dee40935090fc4d969ba8f6ac5106979` Hash scope: Exact retrieved primary paper artifact bytes. Inspected artifact

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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-e914e4149f3b3c8185

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-interaction; title: GlycanML Interaction · Table 3, p. 8; protocol id: paper-protocol-e914e4149f3b3c8185; dataset id: paper-dataset-cc0cb44a535d3e0e7a; metric: Spearman rho; unit: dimensionless; direction: higher; result ids: paper-result-16108af1186bb07643; paper-result-b40c9e0218e574eca5; paper-result-9284b039f056e2a302; paper-result-cc74f69913e5a2aaa7; paper-result-cd20816595a9f309d0; paper-result-37e29e684dddd82a16; paper-result-6bc53e8c78556b6241; paper-result-e3e3952c325b6ef0a2; paper-result-f5c722997fa24f0560; paper-result-9865abcc65a28a6bed; source ids: expansion-p3-glycanml-2405-16206v1; source locator: Table 3, p. 8, Interaction; 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, Interaction; 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, Interaction; ambiguities: None recorded

Related records

evaluates task: GlycanML protein-glycan interaction prediction
part of: GlycanML
subject: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction): links:evaluates_task:discovery-benchmark-glycanml-protein-glycan-interaction-prediction
subject: LectinOracle interaction · Interaction (GlycanML protein-glycan interaction prediction): links:part_of:discovery-benchmark-glycanml
benchmark: RGCN: LectinOracle interaction · Interaction
benchmark: CompGCN: LectinOracle interaction · Interaction
benchmark: MPNN: LectinOracle interaction · Interaction
benchmark: GIN: LectinOracle interaction · Interaction
benchmark: GCN: LectinOracle interaction · Interaction
benchmark: LSTM: LectinOracle interaction · Interaction
benchmark: Transformer: LectinOracle interaction · Interaction
benchmark: GAT: LectinOracle interaction · Interaction
benchmark: ResNet: LectinOracle interaction · Interaction
benchmark: Shallow CNN: LectinOracle interaction · Interaction

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