Add retrained PolyEdit checkpoint and audit artifacts
Browse files
README.md
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---
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library_name: pytorch
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tags:
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- polymers
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- property-prediction
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- graph-transformer
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- polyedit
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---
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# PolyEdit MIPS-retrained
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This is a leakage-controlled retraining of the public MIPS architecture for the eight
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PolyEdit DFT properties: `Egc`, `Egb`, `Eea`, `Ei`, `EPS`, `Nc`, `Xc`, and `Eat`.
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It is **not** a checkpoint released by the MIPS authors. The public repository does not
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include its required MAE or downstream checkpoints, so weights were trained from scratch
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on PolyEdit train components.
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The model uses MIPS star-link polymer graphs, complete-graph path features, the 200-D
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molecular-descriptor modality, the 512-D 3D atom-pair modality, and the public
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`KfuseGraphTransformer` with cross-attention fusion. The split contains 1,300 train,
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75 validation, and 953 held-out polymer records with zero connected-component overlap.
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The strict target tolerances are much narrower than this retrained evaluator's held-out
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errors. When the true reference targets themselves are scored, only 10.996% fall inside
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the requested tolerance. MIPS-based generation numbers must therefore be presented as
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evaluator hit rates alongside this calibration, not as ground-truth chemical success.
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Upstream code: <https://github.com/wjxts/MIPS>
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PolyEdit implementation and full metrics: <https://github.com/promotion-kim/POLYEDIT/tree/tsyou/balanced-polymer-baseline-eval>
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