#spatio-temporal-forecasting News & Analysis

2 articles tagged with #spatio-temporal-forecasting. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 96/10

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DSFNet: Learning Dual-Domain Spectral Operators for Multi-Modality Spatio-Temporal Forecasting in Urban Transportation Systems

Researchers introduce DSFNet, a neural network architecture that improves multi-modality spatio-temporal forecasting for urban traffic systems by using dual-domain spectral filtering to model relationships between different traffic variables. The method achieves 3-10% improvements in prediction accuracy over existing approaches while maintaining computational efficiency.

AINeutralarXiv – CS AI · May 125/10

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ChaosNetBench: Benchmarking Spatio-Temporal Graph Neural Networks on Chaotic Lattice Dynamics

Researchers introduce ChaosNetBench, a synthetic benchmark framework for evaluating spatio-temporal graph neural networks (STGNNs) on chaotic dynamical systems. The framework reveals that STGNNs outperform traditional baselines (TCN, N-BEATS, Transformers) in high-chaos regimes, while non-graph methods remain competitive in low-chaos conditions.