Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...

In this tutorial, we guide you through the development of an advanced Graph Agent framework, powered by the Google Gemini API. Our goal is to build intelligent, multi-step agents that execute tasks ...

Node.js 24 has officially arrived, and it’s bringing a rather tasty selection of improvements to the table. If you’re a developer knee-deep in web apps or wrestling with asynchronous code, this ...

Since October 2024, Microsoft Defender Experts (DEX) has observed and helped multiple customers address campaigns leveraging Node.js to deliver malware and other payloads that ultimately lead to ...

Abstract: Graph Edit Distance (GED) is a classical graph similarity metric. Since exact GED computation is NP-hard, existing GNN-based methods try to approximate GED in polynomial time. However, they ...

I wanted to draw this illustration using graphite, but ended up using desmos and screenshotting it, because they support parametric equations. It will be nice to have such a node. Desmos illustration ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

Have you ever found yourself tangled in a web of overly complicated workflows in Bricksforge, struggling to keep track of what triggers what, and why? But what if there was a way to make it simpler, ...