{"total":23,"rows":[{"id":"2410.19892","title":"Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems","created":"2024-10-25","cited_by_count":26,"area":null},{"id":"2412.00953","title":"BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis","created":"2024-12-01","cited_by_count":16,"area":null},{"id":"2403.15989","title":"Knowledge-guided Machine Learning: Current Trends and Future Prospects","created":"2024-03-24","cited_by_count":14,"area":null},{"id":"2510.09734","title":"ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting","created":"2025-10-10","cited_by_count":8,"area":null},{"id":"2408.09695","title":"On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting","created":"2024-08-19","cited_by_count":7,"area":null},{"id":"2408.14505","title":"RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming","created":"2024-08-24","cited_by_count":2,"area":null},{"id":"2506.13678","title":"A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction","created":"2025-06-16","cited_by_count":2,"area":null},{"id":"2506.13777","title":"A Survey of Physics-Informed AI for Complex Urban Systems","created":"2025-06-09","cited_by_count":2,"area":null},{"id":"2509.19648","title":"S$^2$Transformer: Scalable Structured Transformers for Global Station Weather Forecasting","created":"2025-09-10","cited_by_count":2,"area":null},{"id":"2509.21260","title":"A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting","created":"2025-09-25","cited_by_count":1,"area":null},{"id":"2601.21899","title":"Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting","created":"2026-01-29","cited_by_count":1,"area":null},{"id":"2602.16821","title":"TopoFlow: Topography-aware Pollutant Flow Learning for High-Resolution Air Quality Prediction","created":"2026-02-18","cited_by_count":1,"area":null},{"id":"2503.09646","title":"Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2504.10014","title":"Air Quality Prediction with A Meteorology-Guided Modality-Decoupled Spatio-Temporal Network","created":"2025-04-14","cited_by_count":0,"area":null},{"id":"2506.10332","title":"Air in Your Neighborhood: Fine-Grained AQI Forecasting Using Mobile Sensor Data","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2510.05589","title":"Invariant Representation Learning for Source-Free Time Series Forecasting with LLM-Centric Proxy Denoising","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2511.20257","title":"Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2604.01175","title":"NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2604.02756","title":"STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation","created":"2026-04-03","cited_by_count":0,"area":null},{"id":"2606.13119","title":"MP3: Multi-Period Pattern Pre-training for Spatio-Temporal Forecasting","created":"2026-06-11","cited_by_count":0,"area":null},{"id":"2607.11896","title":"OmniPMNet: Bridging discrete and gridded PM10 forecasts via omni-query neural processes","created":"2026-06-12","cited_by_count":0,"area":null},{"id":"2607.24774","title":"Atmospheric Diffusion-Guided Spatio-Temporal Transformer for Nuclear Radiation Forecasting","created":"2026-06-12","cited_by_count":0,"area":null},{"id":"2610.16630","title":"AeroChem: Closed-loop Physics-Informed State Space Modeling for Long-term Chemically-Reactive Air Quality Forecasting--Extended Version","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}