InfoQ

Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...
IEEE

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
GitHub

Electron API Demos

This is a desktop app that interactively and with sample code demonstrates core features of the Electron API. It's built with Electron, too, of course. This app works on Windows, macOS and Linux ...
IEEE

A new model for learning in graph domains

Abstract: In several applications the information is naturally represented by graphs. Traditional approaches cope with graphical data structures using a preprocessing phase which transforms the graphs ...
GitHub

Microsoft Authentication Library (MSAL) for Java

The Microsoft Authentication Library for Java (MSAL4J) enables applications to integrate with the Microsoft identity platform. It allows you to sign in users or apps with Microsoft identities (Azure ...