RAGDNet: A Region-Adjacency Graph for Semantic Segmentation of Mechanical Drawings Using Graph Convolutional Networks

A General Framework for Learning Algebraic Properties from Cayley Graphs using Graph Neural Networks

Tal Weissblat

In this work, we present a general Graph Neural Network (GNN) framework for learning algebraic properties of finite groups from their Cayley graph representations. The framework provides a unified computational pipeline consisting of a common graph construction procedure, feature…Read more

SkillGraph: A Multi-Agent Architecture for AI-Powered Career Recommendation Using Knowledge Graphs and Graph Neural Networks

Jahnavi Somaraju, V. Guru Thrinath, S. R. Bhavishya, S. Bhavya, Y. Jahnavi

The rapid growth of online career and learning resources has made it difficult for job seekers and professionals to identify the skills, roles, and learning paths that best match their goals. This paper presents SkillGraph, a multi-agent architecture for AIpowered career recommen…Read more

Data and Code to reproduce results in paper "A Systematic Literature Review on Graph-Based Models in Credit Risk Assessment"

Lennart John Baals, Yiting Liu, Joerg Osterrieder, Branka Hadji Misheva

Data and Code to reproduce results in paper "A Systematic Literature Review on Graph-Based Models in Credit Risk Assessment" This repository contains the necessary codes to reproduce results in the paper: Baals, L. J., Liu, Y., Osterrieder, J., & Hadji-Misheva, B. (2025). A Syste…Read more

Also available via: European Organization for Nuclear Research

Data and Code for: Graph convolutional network model of CD4+ T cells provides an optimal single-cell clock for human age prediction

Qingqing Hao, Jun Zhang, M H Zhao, Min Wang, Fanglin Guan, Jiangwei Yan

OverviewThis repository contains the code and processed datasets for the manuscript: “Graph convolutional network model of CD4+ T cells provides an optimal single-cell clock for human age prediction”.This study demonstrates that utilizing single-cell Graph Convolutional Networks…Read more

Behavioral Provenance Detection of Malicious Python Packages using Graph Neural Networks

Umar Hakeema Tafida

The increasing reliance on third-party packages from repositories such as Python Package Index (PyPI) and Node Package Manager (NPM) has introduced critical vulnerabilities in software supply chains. Traditional security approaches, including signature-based detection and trust e…Read more

Quality of Service (QoS) Optimization in 5G/6G Networks Using Neural Networks

Charis E Shiny, S Annapurna, C Lakshana, Anusha Fakirappa Bogur, S Ramesh, G R Naik

Abstract: 5G is rolled out and next generation 6G networks are also being developed, ultra-low latency (URLL) communication as a standard is critical in supporting the plethora of applications, spanning autonomous vehicles, immersive extended reality experience, etc. However, tra…Read more