wengwenchao123 / DDGCRNLinks
[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
☆93Updated 4 months ago
Alternatives and similar repositories for DDGCRN
Users that are interested in DDGCRN are comparing it to the libraries listed below
Sorting:
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆108Updated 10 months ago
- STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting☆102Updated 2 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆78Updated 6 months ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆87Updated 8 months ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆213Updated 2 months ago
- Implementation of Graph Muti-Attention Network with PyTorch☆174Updated 2 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆139Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆70Updated last year
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆41Updated 4 months ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆48Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆125Updated 4 years ago
- ☆19Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆28Updated 8 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆100Updated 2 months ago
- ☆40Updated 2 years ago
- ☆49Updated 3 years ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆247Updated 3 weeks ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆78Updated last month
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆190Updated 3 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆196Updated last year
- ☆67Updated 3 years ago
- ☆74Updated 3 years ago
- ☆22Updated last year
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆28Updated 2 years ago
- KDD'2025. This project aims to explore the application of hypergraph spatio-temporal learning and Large Language Models (LLMs) in traffi…☆31Updated 2 weeks ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆25Updated 2 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
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆278Updated 2 years ago
- ☆28Updated 4 months ago
- Display of data sets and core code in STCGCN☆29Updated 3 years ago