JLDeng / SCNNLinks
[TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting"
☆31Updated last year
Alternatives and similar repositories for SCNN
Users that are interested in SCNN are comparing it to the libraries listed below
Sorting:
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆67Updated last year
- ☆49Updated 3 years ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆63Updated last year
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆14Updated 5 months ago
- My personal PyTorch framework for multivariate time series forecasting.☆98Updated 3 weeks ago
- The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".☆19Updated 3 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆106Updated 8 months ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆45Updated 3 years ago
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆48Updated 7 months ago
- ☆25Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆133Updated last year
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆28Updated last year
- ☆29Updated 2 years ago
- ☆10Updated 2 years ago
- ☆27Updated 3 months ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆25Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆120Updated 3 years ago
- [TRC] PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆16Updated 4 years ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆73Updated last week
- ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"☆16Updated last year
- Official implement for "WITRAN:Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecast…☆36Updated 2 years ago
- ☆32Updated last year
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆91Updated 3 months ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆76Updated 4 months ago
- Code for our SIGKDD'25 paper BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.☆25Updated 6 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆35Updated 2 years ago
- ☆46Updated 3 years ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆30Updated last year
- Official code for the paper 'Spatial-temporal Forecasting for Regions without Observations'☆12Updated last month
- Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).☆36Updated last year