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cs.LG2026
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
Amirhossein Ghaffari, Saeid Sheikhi, Ekaterina Gilman
Spatio-temporal forecasting on sensor graphs is commonly tackled with a single backbone architecture applied uniformly across all nodes, although graph regions can exhibit differen…
cs.CR2026
ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks
Saeid Sheikhi, Panos Kostakos, Lauri Loven
Intrusion detection systems (IDSs) for 5G networks must handle complex, high-volume traffic. Although opaque "black-box" models can achieve high accuracy, their lack of transparenc…
cs.AI2026
Chain of Simulation: A Dual-Mode Reasoning Framework for Large Language Models with Dynamic Problem Routing
Saeid Sheikhi
We present Chain of Simulation (CoS), a novel dual-mode reasoning framework that dynamically routes problems to specialized reasoning strategies in Large Language Models (LLMs). Un…