[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
☆99Sep 2, 2025Updated 9 months ago
Alternatives and similar repositories for DDGCRN
Users that are interested in DDGCRN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆26Sep 2, 2025Updated 9 months ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆38Sep 2, 2025Updated 9 months ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Sep 6, 2023Updated 2 years ago
- source codes of TASSGN☆12Mar 11, 2024Updated 2 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆233Nov 15, 2025Updated 6 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆42Sep 2, 2025Updated 9 months ago
- ☆19Aug 20, 2023Updated 2 years ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆258Mar 9, 2026Updated 3 months ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆118Mar 18, 2025Updated last year
- ☆11Dec 22, 2024Updated last year
- [TITS'24] ✨ Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆95May 13, 2025Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆79Sep 4, 2024Updated last year
- Display of data sets and core code in STCGCN☆29Nov 16, 2022Updated 3 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆204Dec 12, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆11Apr 10, 2025Updated last year
- ☆14Mar 27, 2023Updated 3 years ago
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆298Oct 13, 2023Updated 2 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆146Dec 23, 2023Updated 2 years ago
- Adaptive Graph Convolutional Recurrent Network☆438Feb 23, 2024Updated 2 years ago
- LCDFormer☆11Mar 27, 2024Updated 2 years ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆22Apr 21, 2024Updated 2 years ago
- ☆17May 9, 2025Updated last year
- ☆10Jun 17, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting☆102Oct 15, 2023Updated 2 years ago
- ☆15Aug 21, 2023Updated 2 years ago
- ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"☆15Jan 26, 2026Updated 4 months ago
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆285Nov 1, 2023Updated 2 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆453Feb 4, 2020Updated 6 years ago
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆21Oct 14, 2022Updated 3 years ago
- ☆16Sep 6, 2023Updated 2 years ago
- My personal PyTorch framework for multivariate time series forecasting.☆103Mar 10, 2026Updated 2 months ago
- [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting☆27Aug 25, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ESWA'24] ✨ An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆31Apr 27, 2025Updated last year
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆332May 24, 2021Updated 5 years ago
- ☆12May 14, 2025Updated last year
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆201Aug 1, 2022Updated 3 years ago
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆304Mar 6, 2025Updated last year
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆49Apr 7, 2023Updated 3 years ago
- This is an implementation of a traffic speed predicition model.☆10Oct 27, 2022Updated 3 years ago