Beyond the Graph: An Adaptive Meta-Learner Fuses Explainability, Weather, and Dynamics for Robust Bus ETA Prediction
cs.LG
Submitted: 2026-09-14
Updated: 2026-09-14
Code: https://github.com/pratham-payra/BATP-research-work
Terminology
Sources
- Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
- Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecasting
- Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
- Estimating time of arrival of vehicle fleets with GCN based traffic prediction
- The discrete Fourier transform: A canonical basis of eigenfunctions
- Optimizing Neural Networks via Koopman Operator Theory
- Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
- Graph WaveNet for Deep Spatial-Temporal Graph Modeling
- AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
- GMAN: A Graph Multi-Attention Network for Traffic Prediction
- Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
- STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
- Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
- Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
- PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
- Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
- Graph Neural Modeling of Network Flows
- ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting
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