ZhuoLinLi-shu / SDGLLinks
The official implementation of SDGL
☆32Updated 10 months ago
Alternatives and similar repositories for SDGL
Users that are interested in SDGL are comparing it to the libraries listed below
Sorting:
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆83Updated 2 years ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆17Updated last year
- Official implement for "WITRAN:Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecast…☆35Updated last year
- My personal PyTorch framework for multivariate time series forecasting.☆91Updated 3 months ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆90Updated 2 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆52Updated 9 months ago
- ☆15Updated last year
- ☆43Updated 3 years ago
- ☆25Updated last year
- ☆95Updated 5 months ago
- ☆112Updated last year
- ☆16Updated 2 weeks ago
- ☆38Updated 2 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆63Updated 3 weeks ago
- ☆44Updated 2 years ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆25Updated last month
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆26Updated 9 months ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆57Updated 2 years ago
- Display of data sets and core code in STCGCN☆23Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆111Updated 3 years ago
- A novel spatio-temporal adaptive graph convolutional network model (STAGCN) based on deep learning☆21Updated 2 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆45Updated 2 years ago
- ☆8Updated 2 years ago
- Official implementations of "Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery…☆19Updated 5 months ago
- [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting☆16Updated 2 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆58Updated 11 months ago
- ☆19Updated 3 years ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆44Updated 2 years ago
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆25Updated 2 years ago
- ☆12Updated 2 years ago