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 ...
At the University of Nevada, Reno, we believe in the power of purpose and the strength of the Pack. Whether you're engineering clean energy, studying literature’s role in social change, or designing ...
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