IEEE

Generalizing Graph Neural Networks on Out-of-Distribution Graphs

Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ability of ...
IEEE

DTFL: A Digital Twin-Assisted Graph Neural Network Approach for Service Function Chains Failure Localization

Abstract: Cloud computing enables Network Function Virtualization to dynamically provide and deploy network functions (NFs) to meet business-specific requirements. This approach streamlines NFs’ ...
note

Let's create a normal distribution graph in Excel

"I hear about normal distribution often, but how do I graph it?" To answer that question, I have summarized the steps to create a normal distribution graph in Excel. If the standard deviation is small ...