Learning Local Heterogeneity and Cross-Region Context for Large-Scale Traffic Forecasting
cs.LG, cs.AI
Submitted: 2026-09-23
Updated: 2026-09-23
Terminology
Sources
- Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
- Semi-Supervised Classification with Graph Convolutional Networks
- Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
- Graph WaveNet for Deep Spatial-Temporal Graph Modeling
- Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
- Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
- SqLinear: Balanced Square Partitioning Makes Linear Interaction Sufficient for Large-Scale Traffic Forecasting
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