In this step, remove the resources that you created and no longer need. Delete the application When you delete the application, the service principal in your tenant is also deleted. The request returns a 204 No Content response code. HTTP C# CLI Go Java JavaScript PHP PowerShell Python HTTP...
Find resources for Microsoft Graph development, including code samples, events, blog posts, and more.
VulkanSceneGraph (VSG), is a modern, cross platform, high performance scene graph library built uponVulkangraphics/compute API. The software is written inC++17, and follows theCppCoreGuidlinesandFOSS Best Practices. The source code is published under theMIT License. ...
lncRNA, so the optimal miRNA-lncRNA cross-regulation emerges and sustains at a near-equimolar equilibrium [24]. In other words, RNA dosage for cross-regulation in ceRNA network is particularly critical. It is worth to note that a kinetic mathematical model [24] under such considerations was p...
local~/code/service$ tomodachi run service.py Beside the currently existing built-in ways of interfacing with a service, it's possible to build additional function decorators to suit the use-cases one may have. To give a few possible examples / ideas of functionality that could be coded to ...
Open the project in your IDE (like Visual Studio) to configure the code.In the TodoListClient project, open App.config. Find the app key ida:ClientId and replace the value with the ApplicationID (Client ID) for the TodoListClient-and-Service ...
Note: If the session id has expired, a 404 HTTP error code is returned on the session. In such a scenarion, you can choose to create a new session and continue. Another approach would be to refresh the session periodically to keep the session alive. Typically the persistent session ...
Code of conduct MIT license Security page_typedescriptionproductslanguages sample This sample demonstrates how to use the Microsoft Graph .NET SDK to access data in Office 365 from ASP.NET Core apps. ms-graph office-exchange-online csharp
The graph convolutional network (GCN) is a go-to solution for machine learning on graphs, but its training is notoriously difficult to scale both in terms of graph size and the number of model parameters. Although some work has explored training on large-scale graphs, we pioneer efficient trai...
In many domains where data are represented as graphs, learning a similarity metric among graphs is considered a key problem, which can further facilitate v