Research map / Graph learning / Knowledge and temporal graphs
Lossless Compression of Structured Convolutional Models via Lifting
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Apply lifting-based computation-graph compression | Structured convolutional models · Molecule classification | training and inference time: app. 3x | Helped |
| Apply scalar-parameterized lifting compression | Graphlets model · Molecule classification | training time: 10x | Helped |
| Use lossless lifting compression | Structured convolutional models · Molecule classification and knowledge-base completion | training and testing accuracy | No clear effect |
| Apply lifting-based compression to GIN | GIN · Molecule classification | training time: app. 2x | Helped |
| Reduce numeric precision used for equivalence checks (ablation) | Non-exact lifting compression · Molecule classification | learning performance | Hurt |
| Use tensor rather than scalar parameterization for equivalence checks (ablation) | Lifting compression · Molecule classification and Kinships | compression precision: first 4 digits | Helped |
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