SMILESGNN: interpretable clinical toxicity prediction via SMILES-Graph cross-attention fusion
Read the original at arxiv.org→arXiv:2609.28553v1 Announce Type: new Abstract: Drug toxicity prediction is critical for reducing late-stage attrition in drug discovery, yet remains challenging due to severe class imbalance, scaffold-based...
Original headline: "SMILESGNN: Interpretable Clinical Toxicity Prediction via SMILES-Graph Cross-Attention Fusion"
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- Sep 25, 04:00 UTC arXiv cs.LG lead source SMILESGNN: Interpretable Clinical Toxicity Prediction via SMILES-Graph Cross-Attention Fusion