IEEE

A Dual-Prediction Framework for High-Energy Proton Flux Driven by Graph Neural Networks

Abstract: Predicting high-energy proton flux is essential for radiation-effect protection of satellite devices. We introduce a dual-prediction framework based on Graph Neural Networks (GNN) to model ...
IEEE

An Integrated Knowledge Graph and Graph Neural Network Framework for Scalable Cyber Threat ...

Abstract: This paper presents ETRGNN-ZT, a scalable and automated cybersecurity framework that integrates Neo4jbased knowledge graphs, Graph Neural Networks (GNNs) using the Deep Graph Library (DGL), ...
GitHub

A Continuous Framework for Structural Graph Refinement

We introduce DRESS, a deterministic, parameter-free framework that iteratively refines the structural similarity of edges in a graph to produce a canonical fingerprint: a real-valued edge vector, ...