STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models

Documenti analoghi

• A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units
  di: Chen, Liyue, et al.
  Pubblicazione: (2024)
• Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark
  di: Chen, Liyue, et al.
  Pubblicazione: (2021)
• CrowdHMTware: A Cross-level Co-adaptation Middleware for Context-aware Mobile DL Deployment
  di: Liu, Sicong, et al.
  Pubblicazione: (2025)
• Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks
  di: Wu, Yucheng, et al.
  Pubblicazione: (2024)
• PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding
  di: Jing, Changhong, et al.
  Pubblicazione: (2025)