Abstract: In recent years, graph neural network is used to process graph data and has been successfully applied to graph node classification task. Due to the complexity of graph structure and the ...

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 ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

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, ...

In today’s world, Graph similarity computation (GSC) plays an important role in various applications such as code detection, molecular graph similarity, image matching, etc., by evaluating the ...

Abstract: In recent years, reconstructing features and learning node representations by graph autoencoders (GAE) have attracted much attention in deep graph node clustering. However, existing works ...

The single-step retrosynthesis (SSR) (1) is an essential operation in organic chemistry involving the reversed synthesis of a target product or intermediate in a single step. To achieve automatic ...

This post covers the best open-source text editor software for your Windows 11/10 PC. There are several good open-source text editors available for the Windows operating system. Choosing the one that ...