Abstract: This paper proposes a subgraph-aware classification framework that integrates efficient frequent subgraph mining with graph neural networks (GNNs) to address the limitations of existing GNNs ...

Abstract: Knowledge graphs (KGs) are popularly used to develop several intelligent applications. Revealing valuable knowledge hidden in these graphs opened up a branch of research, known as KG ...

Researchers have produced the first complete wiring diagram of an adult fruit fly brain, tracing roughly 139,255 neurons and ...

This repository for the paper 📘: A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. The README file here maintains a list of ...

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

Mathematicians proved in the early 1990s that randomly connecting routers produces the most efficient, resilient network topology. It took AWS roughly 30 years to turn that result into production ...

PNNVaranasi (Uttar Pradesh) [India], July 1: For more than five hundred years, the narrow lanes of Varanasi have echoed with the rhythmic clatter of handlooms. In small homes and family workshops ...

Telecom networks generate an enormous amount of operational data, and the people running them have spent years trying to make sense of it at scale. A modern 5G network exposes dozens of metrics per ...

Prices range from $210 – $270 USD, the collection is available exclusively through the brand’s webstore and via Graphpaper ...

MIT's DAAAM research gives robots a memory of what it seen, letting it build a detailed map of a space with descriptions that ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...