traffic forecasting

A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction AAAI 2026 Generalising Traffic Forecasting to Regions Without Traffic Observations AAAI 2026 HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting AAAI 2026 Making Logic a First-Class Citizen in Generative ML for Networking NSDI 2026 TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting ACL 2026 DualCast: A Model to Disentangle Aperiodic Events from Traffic Series IJCAI 2025 Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting AAAI 2025 Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024 ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024 TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts ICLR 2024 Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout AAAI 2023 LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting NeurIPS 2023 Probing Traffic Trend Forecasting via Spatial-Temporal Aware Learning-Graph Attention ACML 2023 Spatio-Temporal Meta-Graph Learning for Traffic Forecasting AAAI 2023 DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting ICML 2022 Graph Neural Controlled Differential Equations for Traffic Forecasting AAAI 2022 Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting ICLR 2022 Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models NeurIPS 2022 CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting AAAI 2021 Hierarchical Graph Convolution Network for Traffic Forecasting AAAI 2021 Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network AAAI 2021 Traffic Forecasting using Vehicle-to-Vehicle Communication L4DC 2021 Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting ICML 2021 Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting NeurIPS 2020 MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification IJCAI 2020