CNN (DeepProtein benchmark)
Configuration of CNN: sequence model; default DeepProtein configuration.
Overview
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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.
Evaluations and results
60 evaluations · 60 results. Different protocols are not a single leaderboard.
Sorted by Peak memory (peak GPU memory) (lower is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.
All 60 result rows with coverage, uncertainty and sources
Filter evaluations
Applied filters: All linked evaluations
| Tested configuration | Protocol and dataset | Finding | Evidence and details |
|---|---|---|---|
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein beta-lactamase (PEER): MAE ↓ Dataset: beta-lactamase (PEER) | 0.152 ± 0.001 MAE (mean absolute error) unit-unreported · lower Uncertainty: SD 0.001 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein beta-lactamase (PEER) (MAE ↓) lit-protein-20261011-deepprotein-protocol-beta-lactamase-mae Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'CNN', column group 'β-lactamase', column 'MAE ↓' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein beta-lactamase (PEER): GPU Memory (GB) Dataset: beta-lactamase (PEER) | 0.847 Peak memory (peak GPU memory) gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein beta-lactamase (PEER) (GPU Memory (GB)) lit-protein-20261011-deepprotein-protocol-beta-lactamase-memory Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'Beta' / 'CNN', column 'GPU Memory (GB)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein beta-lactamase (PEER): ρ ↑ Dataset: beta-lactamase (PEER) | 0.721 ± 0.020 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.020 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein beta-lactamase (PEER) (ρ ↑) lit-protein-20261011-deepprotein-protocol-beta-lactamase-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'CNN', column group 'β-lactamase', column 'ρ ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein beta-lactamase (PEER): Time (hour) Dataset: beta-lactamase (PEER) | 0.0015 Runtime (training wall-clock time) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein beta-lactamase (PEER) (Time (hour)) lit-protein-20261011-deepprotein-protocol-beta-lactamase-time Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'Beta' / 'CNN', column 'Time (hour)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Binary localization (PEER): Averaged F1 ↑ Dataset: Binary localization (PEER) | 87.74 ± 0.08% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.08 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein Binary localization (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-binary-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'CNN', column group 'Binary', column 'Averaged F1 ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Binary localization (PEER): GPU Memory (GB) Dataset: Binary localization (PEER) | 1.83 Peak memory (peak GPU memory) gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein Binary localization (PEER) (GPU Memory (GB)) lit-protein-20261011-deepprotein-protocol-binary-memory Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'SubCellular-Bin' / 'CNN', column 'GPU Memory (GB)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Binary localization (PEER): PR-AUC ↑ Dataset: Binary localization (PEER) | 90.88±0.31% AUPRC (area under the precision-recall curve, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.31 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein Binary localization (PEER) (PR-AUC ↑) lit-protein-20261011-deepprotein-protocol-binary-pr-auc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 3. row 'CNN', column group 'Binary', column 'PR-AUC ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Binary localization (PEER): Time (hour) Dataset: Binary localization (PEER) | 0.0011 Runtime (training wall-clock time) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein Binary localization (PEER) (Time (hour)) lit-protein-20261011-deepprotein-protocol-binary-time Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'SubCellular-Bin' / 'CNN', column 'Time (hour)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein CRISPR-Leenay repair outcome: MAE ↓ Dataset: CRISPR-Leenay repair outcome | 0.0745 ± 0.0005 MAE (mean absolute error) unit-unreported · lower Uncertainty: SD 0.0005 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein CRISPR-Leenay repair outcome (MAE ↓) lit-protein-20261011-deepprotein-protocol-crispr-leenay-mae Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 6. row 'CNN', column group 'CRISPR-Leenay', column 'MAE ↓' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein CRISPR-Leenay repair outcome: GPU Memory (GB) Dataset: CRISPR-Leenay repair outcome | 0.629 Peak memory (peak GPU memory) gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein CRISPR-Leenay repair outcome (GPU Memory (GB)) lit-protein-20261011-deepprotein-protocol-crispr-leenay-memory Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'CRISPR' / 'CNN', column 'GPU Memory (GB)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein CRISPR-Leenay repair outcome: R2 ↑ Dataset: CRISPR-Leenay repair outcome | 0.781 ± 0.009 R² (coefficient of determination) unitless · higher Uncertainty: SD 0.009 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein CRISPR-Leenay repair outcome (R2 ↑) lit-protein-20261011-deepprotein-protocol-crispr-leenay-r2 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 6. row 'CNN', column group 'CRISPR-Leenay', column 'R2 ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein CRISPR-Leenay repair outcome: Time (hour) Dataset: CRISPR-Leenay repair outcome | 0.0002 Runtime (training wall-clock time) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein CRISPR-Leenay repair outcome (Time (hour)) lit-protein-20261011-deepprotein-protocol-crispr-leenay-time Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'CRISPR' / 'CNN', column 'Time (hour)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Fluorescence (TAPE): MAE ↓ Dataset: Fluorescence (TAPE) | 0.194 ± 0.001 MAE (mean absolute error) unit-unreported · lower Uncertainty: SD 0.001 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein Fluorescence (TAPE) (MAE ↓) lit-protein-20261011-deepprotein-protocol-fluorescence-mae Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'CNN', column group 'Fluorescence', column 'MAE ↓' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Fluorescence (TAPE): GPU Memory (GB) Dataset: Fluorescence (TAPE) | 0.78 Peak memory (peak GPU memory) gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein Fluorescence (TAPE) (GPU Memory (GB)) lit-protein-20261011-deepprotein-protocol-fluorescence-memory Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'Fluorescence' / 'CNN', column 'GPU Memory (GB)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Fluorescence (TAPE): ρ ↑ Dataset: Fluorescence (TAPE) | 0.680 ± 0.001 Spearman (Spearman rank correlation, as defined in the article's Evaluation metrics section; supervised split) unitless · higher Uncertainty: SD 0.001 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein Fluorescence (TAPE) (ρ ↑) lit-protein-20261011-deepprotein-protocol-fluorescence-rho Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 2. row 'CNN', column group 'Fluorescence', column 'ρ ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Fluorescence (TAPE): Time (hour) Dataset: Fluorescence (TAPE) | 0.01 Runtime (training wall-clock time) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein Fluorescence (TAPE) (Time (hour)) lit-protein-20261011-deepprotein-protocol-fluorescence-time Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'Fluorescence' / 'CNN', column 'Time (hour)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Fold classification (TAPE): Acc ↑ Dataset: Fold classification (TAPE) | 8.01 ± 0.44% Accuracy (accuracy, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.44 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein Fold classification (TAPE) (Acc ↑) lit-protein-20261011-deepprotein-protocol-fold-acc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 7. row 'CNN', column group 'Fold', column 'Acc ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Fold classification (TAPE): Averaged F1 ↑ Dataset: Fold classification (TAPE) | 0.47 ± 0.11% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.11 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein Fold classification (TAPE) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-fold-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 7. row 'CNN', column group 'Fold', column 'Averaged F1 ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Fold classification (TAPE): GPU Memory (GB) Dataset: Fold classification (TAPE) | 0.922 Peak memory (peak GPU memory) gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein Fold classification (TAPE) (GPU Memory (GB)) lit-protein-20261011-deepprotein-protocol-fold-memory Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'Fold' / 'CNN', column 'GPU Memory (GB)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Fold classification (TAPE): Time (hour) Dataset: Fold classification (TAPE) | 0.01 Runtime (training wall-clock time) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein Fold classification (TAPE) (Time (hour)) lit-protein-20261011-deepprotein-protocol-fold-time Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'Fold' / 'CNN', column 'Time (hour)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Human PPI (PEER): Averaged F1 ↑ Dataset: Human PPI (PEER) | 69.65 ± 1.63% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 1.63 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein Human PPI (PEER) (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-human-ppi-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 4. row 'CNN', column group 'Human PPI', column 'Averaged F1 ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Human PPI (PEER): GPU Memory (GB) Dataset: Human PPI (PEER) | 0.96 Peak memory (peak GPU memory) gigabyte · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein Human PPI (PEER) (GPU Memory (GB)) lit-protein-20261011-deepprotein-protocol-human-ppi-memory Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'Human-PPI' / 'CNN', column 'GPU Memory (GB)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Human PPI (PEER): PR-AUC ↑ Dataset: Human PPI (PEER) | 70.37±1.22% AUPRC (area under the precision-recall curve, printed on a 0 to 100 scale) percent · higher Uncertainty: SD 1.22 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein Human PPI (PEER) (PR-AUC ↑) lit-protein-20261011-deepprotein-protocol-human-ppi-pr-auc Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 4. row 'CNN', column group 'Human PPI', column 'PR-AUC ↑' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein Human PPI (PEER): Time (hour) Dataset: Human PPI (PEER) | 0.14 Runtime (training wall-clock time) hour · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN resource usage on DeepProtein Human PPI (PEER) (Time (hour)) lit-protein-20261011-deepprotein-protocol-human-ppi-time Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 8 row 'Human-PPI' / 'CNN', column 'Time (hour)' |
| Configuration: CNN (DeepProtein benchmark) | Protocol: DeepProtein IEDB epitope prediction: Averaged F1 ↑ Dataset: IEDB epitope prediction | 10.34 ± 0.02% Macro F1 (averaged macro F1 (Figure 3 caption: 'averaged macro F1'), printed on a 0 to 100 scale) percent · higher Uncertainty: SD 0.02 Coverage: Not reported scored / Not reported eligible | Author-reported evaluation · Source checkedMethods, coverage and sourceCNN on DeepProtein IEDB epitope prediction (Averaged F1 ↑) lit-protein-20261011-deepprotein-protocol-iedb-avg-f1 Aggregation: Not reported DeepProtein: deep learning library and benchmark for protein sequence learning · Table 5. row 'CNN', column group 'IEDB', column 'Averaged F1 ↑' |
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Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- DeepProtein: deep learning library and benchmark for protein sequence learning · Original source · Version of record, Bioinformatics 2025 (PMC12553333 JATS full text)
Technical metadata and extraction receipts
Stable ID: lit-protein-20261011-deepprotein-config-cnn
- areas
- protein-function
- contexts
- research
- method types
- specialist
- reported name
- CNN
- reported configuration
- sequence model; default DeepProtein configuration (Table 9)
- foundation model eligible
- false
- source locator
- Tables 2 to 8, row 'CNN'; Table 9 for the default configuration
- missing metadata
- version: reason: unreported; note: The tables name the model without a release version
- provenance note
- CNN as trained and evaluated in the DeepProtein benchmark (sequence model).
Related records
- configuration of: CNN
- system: CNN on DeepProtein beta-lactamase (PEER) (MAE ↓)
- system: CNN resource usage on DeepProtein beta-lactamase (PEER) (GPU Memory (GB))
- system: CNN on DeepProtein beta-lactamase (PEER) (ρ ↑)
- system: CNN resource usage on DeepProtein beta-lactamase (PEER) (Time (hour))
- system: CNN on DeepProtein Binary localization (PEER) (Averaged F1 ↑)
- system: CNN resource usage on DeepProtein Binary localization (PEER) (GPU Memory (GB))
- system: CNN on DeepProtein Binary localization (PEER) (PR-AUC ↑)
- system: CNN resource usage on DeepProtein Binary localization (PEER) (Time (hour))
- system: CNN on DeepProtein CRISPR-Leenay repair outcome (MAE ↓)
- system: CNN resource usage on DeepProtein CRISPR-Leenay repair outcome (GPU Memory (GB))
- system: CNN on DeepProtein CRISPR-Leenay repair outcome (R2 ↑)
- system: CNN resource usage on DeepProtein CRISPR-Leenay repair outcome (Time (hour))
- system: CNN on DeepProtein Fluorescence (TAPE) (MAE ↓)
- system: CNN resource usage on DeepProtein Fluorescence (TAPE) (GPU Memory (GB))
- system: CNN on DeepProtein Fluorescence (TAPE) (ρ ↑)
- system: CNN resource usage on DeepProtein Fluorescence (TAPE) (Time (hour))
- system: CNN on DeepProtein Fold classification (TAPE) (Acc ↑)
- system: CNN on DeepProtein Fold classification (TAPE) (Averaged F1 ↑)
- system: CNN resource usage on DeepProtein Fold classification (TAPE) (GPU Memory (GB))
- system: CNN resource usage on DeepProtein Fold classification (TAPE) (Time (hour))
- system: CNN on DeepProtein Human PPI (PEER) (Averaged F1 ↑)
- system: CNN resource usage on DeepProtein Human PPI (PEER) (GPU Memory (GB))
- system: CNN on DeepProtein Human PPI (PEER) (PR-AUC ↑)
- system: CNN resource usage on DeepProtein Human PPI (PEER) (Time (hour))
- system: CNN on DeepProtein IEDB epitope prediction (Averaged F1 ↑)
- system: CNN on DeepProtein IEDB epitope prediction (ROC-AUC ↑)
- system: CNN on DeepProtein PDB-Jespersen epitope prediction (Averaged F1 ↑)
- system: CNN on DeepProtein PDB-Jespersen epitope prediction (ROC-AUC ↑)
- system: CNN on DeepProtein PPI affinity (PEER) (MAE ↓)
- system: CNN resource usage on DeepProtein PPI affinity (PEER) (GPU Memory (GB))
- system: CNN on DeepProtein PPI affinity (PEER) (R2 ↑)
- system: CNN resource usage on DeepProtein PPI affinity (PEER) (Time (hour))
- system: CNN on DeepProtein SAbDab-Chen antibody developability (MAE ↓)
- system: CNN resource usage on DeepProtein SAbDab-Chen antibody developability (GPU Memory (GB))
- system: CNN on DeepProtein SAbDab-Chen antibody developability (R2 ↑)
- system: CNN resource usage on DeepProtein SAbDab-Chen antibody developability (Time (hour))
- system: CNN on DeepProtein SAbDab-Liberis paratope prediction (Averaged F1 ↑)
- system: CNN on DeepProtein SAbDab-Liberis paratope prediction (ROC-AUC ↑)
- system: CNN on DeepProtein Secondary structure prediction (TAPE) (Acc ↑)
- system: CNN on DeepProtein Secondary structure prediction (TAPE) (Averaged F1 ↑)
- system: CNN on DeepProtein Solubility (PEER) (Averaged F1 ↑)
- system: CNN resource usage on DeepProtein Solubility (PEER) (GPU Memory (GB))
- system: CNN on DeepProtein Solubility (PEER) (PR-AUC ↑)
- system: CNN resource usage on DeepProtein Solubility (PEER) (Time (hour))
- system: CNN on DeepProtein Stability (TAPE) (MAE ↓)
- system: CNN resource usage on DeepProtein Stability (TAPE) (GPU Memory (GB))
- system: CNN on DeepProtein Stability (TAPE) (ρ ↑)
- system: CNN resource usage on DeepProtein Stability (TAPE) (Time (hour))
- system: CNN on DeepProtein Subcellular localization (PEER) (Acc ↑)
- system: CNN on DeepProtein Subcellular localization (PEER) (Averaged F1 ↑)
- system: CNN resource usage on DeepProtein Subcellular localization (PEER) (GPU Memory (GB))
- system: CNN resource usage on DeepProtein Subcellular localization (PEER) (Time (hour))
- system: CNN on DeepProtein TAP antibody developability (MAE ↓)
- system: CNN resource usage on DeepProtein TAP antibody developability (GPU Memory (GB))
- system: CNN on DeepProtein TAP antibody developability (R2 ↑)
- system: CNN resource usage on DeepProtein TAP antibody developability (Time (hour))
- system: CNN on DeepProtein Yeast PPI (PEER) (Averaged F1 ↑)
- system: CNN resource usage on DeepProtein Yeast PPI (PEER) (GPU Memory (GB))
- system: CNN on DeepProtein Yeast PPI (PEER) (PR-AUC ↑)
- system: CNN resource usage on DeepProtein Yeast PPI (PEER) (Time (hour))