Domain-generalized representation learning for cross-chemical-family toxicity prediction
Traditional QSAR toxicity models are, in general, assessed with random train-test splits where structural overlaps between train and test compounds are allowed. This usually results in an inflated predictive performance. Therefore, this paper looks at the problem of toxicity prediction under the structural distribution...