chemistry-group-attribution-over-the-split-and-the-baseline-mode

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Use at study design, experimentation and analysis when the deliverable includes which substructures, functional groups or motifs drive the model's predictions, once the attribution estimator is already chosen. Covers widening from the one molecule the source drew to the whole evaluation split with per-molecule normalisation, running the identical attribution on the comparator model so a claim of better interpretability becomes measurable, and treating a learned edge or subgraph mask as a first-class output.

AI & Automation 804 stars 25 forks Updated today NOASSERTION

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# A group ranking from one molecule has no n, and "more interpretable" is a comparison This picks up after the estimator is chosen. `the-attribution-is-the-deliverable` covers which estimator to use, computing two of them and reporting their disagreement, the trivial-feature control, and the fact that the output has to be a figure. None of that is repeated here. What that skill leaves open, and what loses the interpretability criterion, is three things: the population, the comparator model, and the mask. The failure shape is always the same. The source drew a saliency map for one named molecule; the run computes its own map for the same molecule, sums the per-atom scores into the named functional groups, gets a different ranking from the source's, and reports the disagreement. Both halves fail. A ranking of a few groups derived from the atoms of a single molecule has no sample size, so a disagreement cannot be distinguished from that molecule's noise. And the claim under test is comparative -- the method highlights chemically meaningful substructures *more than the conventional architecture does* -- which one model's map cannot address at all. ## 1. The population is the evaluation split, not the drawn molecule Write a SMARTS pattern for every group the analysis names and match it against **every molecule in the held-out split** (`Chem.MolFromSmarts`, `GetSubstructMatches`). Report one table: - molecules containing the group (n) and matched atoms (m); - mean attribution ...

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Author
tangxiangru
Repository
tangxiangru/AutoR
Created
5 months ago
Last Updated
today
Language
Python
License
NOASSERTION

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