To address these challenges, we propose a Spatio-Temporal Contrastive Learning-based Adaptive Graph Augmentation (STCL-AGA) framework for traffic flow prediction, which captures and adapts to evolving ...

This study describes a new analysis strategy to compare active neurons during behavioral tasks across the brain. This is significant because analysing how different brain areas are active during ...

Instead, the emergent properties of the entire mechanism arise due to the coupling of species to each other. These complex couplings of species are represented as connectivity (or network structure) ...

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An Ideal Flow Network (IFN) is a theoretical model where the network is strongly connected, and the flows are balanced and conserved. Mathematically, it represents a steady-state relative flow ...

Once people could trust that free and fair elections would be held regularly, the theory went, other forms of politics would come to seem too costly and violent to consider. The past decade has ...

Abstract: Brain serves as a critical cornerstone of human intelligence, which involves a series of complex neuropsychological activities that lead to the coordination of various functions in the brain ...

The algorithm works in an abstracted road map called a graph: a network of interconnected points (called vertices) in which the links between vertices are labeled with numbers (called weights). These ...