Research

Publications and papers.

@IAICT2026 · Conference · IEEE · Jul 2026

A Cascaded Hypergraph Neural Network–Based Clinical Decision Support System for Drug–Drug Interaction Detection and Type Classification

Drug–drug interactions (DDIs) constitute a significant cause of avoidable adverse effects, and polypharmacy has increased the requirement for efficient interpre…

@ECAI2026 · Conference · IEEE · Jul 2026

Hierarchical Hypergraph Neural Networks for Multi-Type Drug–Drug Interaction Prediction

Polypharmacy substantially increases the risk of drug-drug interactions (DDIs), which threaten patient safety and clinical outcomes. Graph neural networks have…

@KufaJournal · Journal · University of Kufa (Q3) · Jun 2026

Predicting Drug–Drug Interactions: A Comprehensive Review of Data, Methods, and Challenges

Drug–drug interactions have long been a concern for patient health, as they may lead to adverse side effects. Previously, approaches based on trial-and-error a…