Shadow Banking Detection with Graph Neural Networks: Mapping Unofficial Lending Networks

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

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

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

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 used in the publication "Decadal wave reconstruction in the Mediterranean Sea with graph neural networks" by Benassi et al.

Federica Benassi, A S Wadalkar, Lorenzo Mentaschi

This repository contains the data used for training and validation of the model presented in Decadal wave reconstruction in the Mediterranean Sea with graph neural networks by Benassi et al. The wave data will be published as Wadalkar et al. (2026), a bias-corrected version of th…Read more

Graph Neural Networks for Predicting Solvability of Finite Groups

Tal Weissblat

We present a Graph Neural Network (GNN) framework for the classification of finite groups according to their solvability. Using undirected Cayley graph representations, the proposed framework learns to distinguish solvable and non-solvable groups directly from structural graph in…Read more