jeongwhanchoi / STG-NRDELinks
"Graph Neural Rough Differential Equations for Traffic Forecasting", ACM TIST
☆14Updated 3 years ago
Alternatives and similar repositories for STG-NRDE
Users that are interested in STG-NRDE are comparing it to the libraries listed below
Sorting:
- ☆13Updated last year
- This is the repository of our accepted CIKM 2022 paper "Prediction-based One-shot Dynamic Parking Pricing".☆17Updated last year
- GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023☆59Updated last year
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆160Updated last year
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆11Updated 2 years ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆27Updated 2 years ago
- Implementation of Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning (AAAI-23)☆16Updated 2 years ago
- [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal E…☆49Updated 2 years ago
- ☆48Updated 3 years ago
- The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》☆27Updated 11 months ago
- Learning Multiaspect Traffic Couplings by Multirelational Graph Attention Networks for Traffic Prediction☆14Updated 2 years ago
- LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21☆35Updated last year
- ☆18Updated 3 years ago
- NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21☆24Updated 3 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆62Updated last year
- The official implementation of ChatTraffic.☆47Updated 8 months ago
- An end-to-end deep learning model for spatial-temporal prediction☆35Updated 3 years ago
- ☆19Updated 3 years ago
- ☆45Updated 3 years ago
- ☆18Updated 2 years ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆26Updated 2 weeks ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆88Updated 2 weeks ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆72Updated 4 months ago
- ☆26Updated 2 weeks ago
- [IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network☆36Updated last year
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆18Updated 2 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆87Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆118Updated 3 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Updated 4 years ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆57Updated 2 months ago