In this blog post, I will explain a series of 3 papers, where the third one gives the first construction of explicit constant-degree lossless vertex expanders. [ HMMP24 ] Explicit two-sided ...

In this tutorial, we provide a practical guide for implementing LangGraph, a streamlined, graph-based AI orchestration framework, integrated seamlessly with Anthropic’s Claude API. Through detailed, ...

Department of Mathematics and Statistics, Qinghai Minzu University, Xining, China. Since then, much attention has been paid to this topic, but they mainly focus on undirected graphs and integral trees ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph-based neural networks and, specifically, message-passing neural networks (MPNNs) ...

Knowledge graphs are reshaping how we organize and make sense of information. By connecting data points and revealing relationships between them, these powerful tools are transforming industries, from ...

Abstract: Graph classification is typically done with geometric deep learning. Given a set of graphs from different classes, e.g., representing mutagenic and non-mutagenic molecules in the MUTAG ...

Debugging and deploying applications can often feel like navigating a maze with no clear exit. It’s a problem that plagues many developers, leading to wasted time and frustration. But what if there ...

Introduction: In response to the issues of complexity and low efficiency in line loss calculations for actual distribution networks, this paper proposes a fast power flow calculation method for ...