3 papers
cs.LG2026
Enhancing Graph Neural Networks Using Proximity Graphs for Dust Source Emission Forecasting
Maryam Sanisales, Zahed Rahmati, Ali Darvishi Boloorani +1
Accurate prediction of dust source emissions is critical for mitigating the significant environmental and health hazards posed by dust storms. Traditional forecasting methods often…
cs.LG2026
Where Black-box Drug-Target Interaction Prediction Models Look: Cross-Method Explainability
Ali Vefghi, Zahed Rahmati, Mohammad Akbari
Drug-target interaction (DTI) and affinity (DTA) predictors increasingly achieve strong benchmark scores, yet their internal use of sequence, fingerprint, and graph features often…
q-bio.QM2025
Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review
Ali Vefghi, Zahed Rahmati, Mohammad Akbari
Drug discovery remains a slow and expensive process that involves many steps, from detecting the target structure to obtaining approval from the Food and Drug Administration (FDA),…