裙带关系 发表于 2025-3-28 16:03:53
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,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 发表于 2025-3-29 11:49:02
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http://reply.papertrans.cn/24/2316/231502/231502_47.pngHAIL 发表于 2025-3-29 19:46:20
,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.烦忧 发表于 2025-3-30 03:49:45
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,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