This study aimed to evaluate diurnal and seasonal trends in aerodynamic conductance over a grassland surface. A simple ...

Abstract: Most existing graph neural networks (GNNs) learn node embeddings using the framework of message passing and aggregation. Such GNNs are incapable of learning relative positions between graph ...

Abstract: Traditional centralized methods for stability analysis in linear multi-agent systems face significant challenges, including limited scalability, lack of modularity, and difficulties in ...

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