Abstract: In recent years, Graph Neural Networks (GNNs) have achieved significant success in graph-based tasks. However, they still face challenges in complex scenarios, particularly in integrating ...

The below chart from UCSF Benioff Children’s Hospital outlines the normal range of beats per minute for resting heart rate, based on age. Target heart rate refers to a range of heart beats per ...

In this study, a novel self-cumulative contrastive graph clustering (SC-CGC) method is devised, which is capable of dynamically adjusting the influence of neighbors with different hops. Our intuition ...

Integrate the Microsoft Graph API into your .NET project! The Microsoft Graph .NET Core Client Library contains core classes and interfaces used by Microsoft.Graph Client Library to send native HTTP ...

Initially, time-frequency complexity and temporal features of the EEG signal are extracted to generate node features for a graph convolutional network ... the impact of certain interference noises, a ...

TABLE 1. Dataset and brief descriptions (based on ... These high correlations in MAR(0) and APR(0) are very useful in the mid-range forecast of the landfall TC frequency, but they are not seen in the ...