Titlebook: Complex Networks XIV; Proceedings of the 1 Andreia Sofia Teixeira,Federico Botta,Giuseppe Man Conference proceedings 2023 The Editor(s) (if

裙帶關(guān)系

GEN

倫理學

偏見

A精確的

,Learned Monkeys: Emergent Properties of?Deep Reinforcement Learning Generated Networks,aracteristics of the proximity network constructed from an observational dataset. For example, our model-generated graph and the observed graph consistently showed a few members with significantly higher betweenness centrality than all other members despite each agent starting with the same parameters.

Ovulation

恫嚇

HAIL

,CoreGDM: Geometric Deep Learning Network Decycling and?Dismantling, degree-based one. Extensive experiments on fifteen real-world networks show that CoreGDM outperforms the original GDM formulation and the other state-of-the-art algorithms, while also being more computationally efficient.

煩憂

泥土謙卑

,Brain’s Dynamic Functional Organization with?Simultaneous EEG-fMRI Networks,(EEG). Recent studies have suggested a link between the dynamic functional connectivity (dFC) captured by these two modalities, but the exact relationship between their spatiotemporal organization is still unclear. Since these networks are spatially embedded, a question arises whether the topologica