Adaptive Graph Pruning for Traffic Prediction with ST-GNNs
Published:Dec 19, 2025 08:48
•1 min read
•ArXiv
Analysis
This research explores adaptive graph pruning techniques within the domain of traffic prediction, a critical area for smart city applications. The focus on online semi-decentralized ST-GNNs suggests an attempt to improve efficiency and responsiveness in real-time traffic analysis.
Key Takeaways
Reference
“The study utilizes Online Semi-Decentralized ST-GNNs.”