3 papers
cs.LG2025
Small Graph Is All You Need: DeepStateGNN for Scalable Traffic Forecasting
Yannick Wölker, Arash Hajisafi, Cyrus Shahabi +1
We propose a novel Graph Neural Network (GNN) model, named DeepStateGNN, for analyzing traffic data, demonstrating its efficacy in two critical tasks: forecasting and reconstructio…
cs.LG2024
WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series
Arash Hajisafi, Maria Despoina Siampou, Bita Azarijoo +2
Clinical time series are often irregularly sampled, with varying sensor frequencies, missing observations, and misaligned timestamps. Prior approaches typically address these irreg…
eess.SP2024
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
Arash Hajisafi, Haowen Lin, Yao-Yi Chiang +1
Diagnosing epilepsy requires accurate seizure detection and classification, but traditional manual EEG signal analysis is resource-intensive. Meanwhile, automated algorithms often…