IEEE

Robust Traffic Forecasting With Disentangled Spatiotemporal Graph Neural Networks

Abstract: Traffic prediction is a cornerstone of intelligent transportation systems (ITSs). The effectiveness of existing spatiotemporal graph neural networks (STGNNs) heavily relies on the ...
IEEE

A Hybrid Graph Neural Network and Neural ODE Model to Intrusion Detection in Dynamic Network Topologies

Abstract: The adaptive nature of evolving cyber-threats, particularly in Internet of Things (IoT) and Software-Defined Networking (SDN) environments, necessitates intrusion detection systems (IDS) ...
marktechpost

A Production-Style NetworKit 11.2.1 Coding Tutorial for Large-Scale Graph Analytics, Communities, Cores, and Sparsification

In this tutorial, we implement a production-grade, large-scale graph analytics pipeline in NetworKit, focusing on speed, memory efficiency, and version-safe APIs in NetworKit 11.2.1. We generate a ...