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Author

Dejun Jiang

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Jul 2026

Toxicological Knowledge-Guided Graph Learning for Interpretable and Generalizable Molecular Toxicity Prediction.

This work introduces Toxicological Knowledge-guided Graph-based Learning (TKGL), a multiview framework that integrates molecular graphs with substructural alerts and biological mechanism information for more accurate, interpretable, and generalizable chemical safety assessment.

Yan-Jing Duan, Woruo Chen, Kun Li et al. · 0 citations
#machine learning Open access Nov 2025

A fused deep learning approach to transform drug repositioning

A deep learning framework that integrates knowledge graph embedding and pre-training strategies to overcome the intractable cold start issue, achieving superior performance and interpretability in drug repurposing is introduced.

Kun Li, Jiacai Yi, Qing Ye et al. · 1 citation

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