Duy-Hieu Bui

Network-on-Chip Congestion Prediction Using Spatiotemporal Graph Neural Networks and a Neo4j Graph Database

Reproducibility artifact for an offline framework that predicts short-term per-router Network-on-Chip congestion, integrating a customised BookSim2 simulator, a Neo4j unified graph store for static topology and dynamic state, and a multi-seed comparison of topology-aware and topology-agnostic next-step buffer-occupancy predictors.