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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.LG2025★ 2 cited
STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
Amirhossein Ghaffari, Huong Nguyen, Lauri Lovén +1
Urban spatio-temporal data present unique challenges for predictive analytics due to their dynamic and complex nature. We introduce STM-Graph, an open-source Python framework that…