Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

Linear graphs are straight-line graphs that visually represent a constant rate of change in the relationship between two variables, showing how one changes in response to the other. They are expressed ...

Baptist Medical Center, Department of Behavioral Health, Jacksonville, FL, United States Introduction: This study investigates four subdomains of executive functioning—initiation, cognitive inhibition ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...

Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...

KUALA LUMPUR, July 8 — Tenaga Nasional Berhad (TNB) said it has resolved the technical issue that had caused inaccurate July electricity usage graphs to appear in its myTNB mobile application. The ...

Can't use Get-MgAllUserOnlineMeetingRecording with v2.26.1 Docs here: https://learn.microsoft.com/en-us/powershell/module/microsoft.graph.users.functions/?view=graph ...

Graphs of exponential functions: examining the distinctive curve of exponential growth and decay Graphs of logarithmic functions: analysing how logarithmic functions represent the inverse of ...

import torch import torch._dynamo as dynamo def toy_example(inputs): out = inputs[0] for inp in filter(lambda x: (x.requires_grad), inputs): out = out * inp out = out ...

Intrinsically disordered proteins and regions (IDPs/IDRs) are functionally important proteins and regions that exist as highly dynamic conformations under natural physiological conditions. IDPs/IDRs ...