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STHMoE

model1 events
papersTODAY 04:00 UTC

Hypergraph-Enhanced Mixture-of-Experts Model Targets Urban Traffic Forecasting

A new arXiv paper introduces STHMoE, a mixture-of-experts architecture that uses hypergraphs to coordinate heterogeneous dependencies in spatio-temporal traffic data. The method is designed to handle the non-stationary and structurally dynamic patterns produced by large networks of urban sensors. It targets LLM-based forecasting for intelligent transportation systems.

research/mixture-of-experts/forecasting/spatio-temporal