Abstract: Self-supervised graph embedding has emerged as a powerful paradigm for learning expressive node and graph representations without relying on real labels. Several recent self-supervised ...

A lightweight, browser-native Node.js runtime environment. Run Node.js code, install npm packages, and develop with Vite or Next.js - all without a server. Built by the creators of Macaly.com — a tool ...

Abstract: The node classification in graphs aims to predict the categories of unlabeled nodes utilizing a small set of labeled nodes. However, weighted graphs often contain noisy edges and anomalous ...

I was running an experiment to see fps behavior the more nodes I add. Unexpectedly I found that fps is significantly different when panning/zooming the window (when zoomed out) versus just interacting ...