3 papers
cs.LG2025
Quantum Topological Graph Neural Networks for Detecting Complex Fraud Patterns
Mohammad Doost, Mohammad Manthouri
We propose a novel QTGNN framework for detecting fraudulent transactions in large-scale financial networks. By integrating quantum embedding, variational graph convolutions, and to…
cs.LG2024
Stock Price Prediction using Multi-Faceted Information based on Deep Recurrent Neural Networks
Lida Shahbandari, Elahe Moradi, Mohammad Manthouri
Accurate prediction of stock market trends is crucial for informed investment decisions and effective portfolio management, ultimately leading to enhanced wealth creation and risk…
cs.LG2024
Forecasting Foreign Exchange Market Prices Using Technical Indicators with Deep Learning and Attention Mechanism
Sahabeh Saadati, Mohammad Manthouri
Accurate prediction of price behavior in the foreign exchange market is crucial. This paper proposes a novel approach that leverages technical indicators and deep neural networks.…