Abstract: In this paper, we study the generalization capabilities of geometric graph neural networks (GNNs). We consider GNNs over a geometric graph constructed from a finite set of randomly sampled ...

While standard deviation reveals how much variation exists within a single sample, SEM shows how likely the mean of the sample is correct. The smaller the SEM, the closer your sample's mean is to ...

Copy number variation through gene or chromosome amplification provides a route for rapid phenotypic variation and supports the long-term evolution of gene functions. Although the evolutionary ...

However, the cause of this relationship has not been clarified. In geometry, SD has an intrinsic relationship with SS −1 or SL −2, which is defined as a geometric constraint here. We compiled global ...