STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Abstract: The acceleration of classical composite generation and transmission system reliability assessment is mainly achieved through algorithmic innovations at the state sampling stage. Typical ...
Abstract: This work introduces a generalization of the leader–first follower (LFF) graph structure for solving the bearing-only formation control problem on directed graphs. The first contribution ...
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