One powerful way to do this is through a routine called slow reveal graphs.
Abstract: Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly ...
Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
Abstract: Functional connectivity (FC) networks based on resting-state functional magnetic imaging (rs-fMRI) are reliable and sensitive for brain disorder diagnosis. However, most existing methods are ...
In the heat of the summer 2025 homebuying season, mortgage rates feel uncomfortably high. But when someone points out that mortgages are still painfully expensive right now, a well-seasoned homeowner ...
A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...
Liu, M., Wang, Y., Zhang, H., Yang, Q., Shi, F., Zhou, Y., & Shen, D. (2022). Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ...
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