Datasets:
File size: 1,315 Bytes
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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.
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