ZhuoLinLi-shu / SDGL
The official implementation of SDGL
☆32Updated 7 months ago
Alternatives and similar repositories for SDGL:
Users that are interested in SDGL are comparing it to the libraries listed below
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆15Updated 11 months ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆80Updated 2 years ago
- Official implement for "WITRAN:Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecast…☆34Updated last year
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆23Updated 6 months ago
- ☆25Updated last year
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆84Updated last week
- ☆19Updated 3 years ago
- ☆13Updated last year
- ☆104Updated last year
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆57Updated 4 months ago
- ☆37Updated 2 years ago
- TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification☆67Updated last year
- Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆15Updated 7 months ago
- ☆10Updated 4 months ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆21Updated 11 months ago
- ☆47Updated 2 years ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆55Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆47Updated 6 months ago
- [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction☆11Updated 2 weeks ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆41Updated 3 years ago
- ☆8Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆106Updated 3 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆43Updated last year
- ☆15Updated 2 years ago
- ☆43Updated 2 years ago
- ☆12Updated 2 years ago
- ☆42Updated 2 years ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆42Updated 2 years ago
- ☆43Updated 2 years ago
- ☆19Updated 2 years ago