| --- |
| license: apache-2.0 |
| task_categories: |
| - graph-ml |
| pretty_name: M-DESIGN Knowledge Base and Model Artifacts |
| --- |
| |
| # M-DESIGN Knowledge Base and Model Artifacts |
|
|
| This dataset contains the released SQLite model-performance databases and model |
| artifacts used by M-DESIGN, the method from "Beyond Model Base Retrieval: |
| Weaving Knowledge to Master Fine-grained Neural Network Design". |
|
|
| ## Contents |
|
|
| Each `.db` file has a `model_records` table. The first six columns encode |
| fine-grained neural design choices and the final two columns store the measured |
| score and standard deviation. Each task/dataset directory includes the released |
| PyTorch artifacts: `ecc_predictor.pt` and `model_graph.pt`. |
|
|
| Task layout: |
|
|
| - `node/`: node classification model records. |
| - `link/`: link prediction model records. |
| - `graph/`: graph classification model records. |
|
|
| ## Suggested Use |
|
|
| Place the downloaded folder at `data/knowledge_base` inside the M-DESIGN code |
| repository, then run: |
|
|
| ```bash |
| mdesign inspect-kb --task node_classification |
| mdesign recommend --dataset Cora --task node_classification --max-iter 30 |
| ``` |
|
|
| ## Notes |
|
|
| The databases are released for reproducibility and research use. Baseline logs, |
| temporary trials, ablation outputs, TensorBoard events, private keys, and local |
| machine paths are not part of this release bundle. |
|
|
