ZhuoLinLi-shu / SDGLLinks
The official implementation of SDGL
☆36Updated last year
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".☆88Updated 3 years ago
- ☆124Updated last year
- ☆106Updated 11 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆98Updated 3 weeks ago
- TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification☆81Updated 2 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆63Updated last year
- Official implement for "WITRAN:Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecast…☆36Updated 2 years ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆22Updated last year
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆84Updated 6 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆67Updated last year
- ☆40Updated 2 years ago
- ☆44Updated 3 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆106Updated 8 months ago
- ☆44Updated 3 years ago
- ☆27Updated 2 years ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆30Updated 3 months ago
- PyTorch implementation for paper "WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series" (A…☆49Updated 2 years ago
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆24Updated 3 years ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆35Updated 2 years ago
- ☆19Updated 3 years ago
- ☆14Updated 3 years ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆30Updated last year
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆32Updated 3 years ago
- PyTorch implementation of ESG☆92Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆120Updated 3 years ago
- ☆11Updated 11 months ago
- ☆14Updated 3 years ago
- HSTGODE code☆10Updated 2 years ago
- This is the PyTorch official implementation of SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Ser…☆19Updated last year
- ☆63Updated last month