37 citations · 40 across the 12 of their papers we have counts for
5 papers · 1 filter
Institutional Equity Holdings Prediction Using Node Affinities of Dynamic Graphs
Emad Izadifar, Zahed Rahmati
Institutional equity holdings disclosed in SEC Form 13F filings provide a rich temporal record of portfolio decisions by large investment managers. However, forecasting future allo…
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…
Semantic Reasoning in Medicine: The Role of Knowledge Graphs Across Five Key Domains
Haniye Sherafatmandjoo, Mohammad Akbari, Zahed Rahmati
Knowledge graphs (KGs) have emerged as a promising solution for integrating and reasoning over complex biomedical and clinical data in healthcare. By representing structured relati…
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…
Edge2Node: Reducing Edge Prediction to Node Classification
Zahed Rahmati
Despite the success of graph neural network models in node classification, edge prediction (the task of predicting missing or potential links between nodes in a graph) remains a ch…