yoshall / SINPALinks
☆12Updated last month
Alternatives and similar repositories for SINPA
Users that are interested in SINPA 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".☆62Updated last year
- ☆31Updated last year
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆16Updated 4 months ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆28Updated last year
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆25Updated last year
- ☆15Updated 2 years ago
- The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.☆27Updated 2 weeks ago
- ☆15Updated 10 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆32Updated last year
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆81Updated 2 years ago
- Official Code of TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts☆57Updated last year
- Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).☆18Updated last month
- ☆26Updated 2 weeks ago
- BayOTIDE-Bayesian Online Multivariate Time Series Imputation with Functional Decomposition (ICML 2024 spotlight)☆34Updated last week
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆14Updated 6 months ago
- ☆24Updated last year
- The code for TFPS☆23Updated 10 months ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆26Updated 2 weeks ago
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆17Updated 2 years ago
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆18Updated last year
- [ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dep…☆68Updated 6 months ago
- [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective☆56Updated 2 months ago
- ☆13Updated 7 months ago
- ☆25Updated 3 years ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆58Updated 2 years ago
- This is the PyTorch official implementation of SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Ser…☆18Updated last year
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆35Updated 2 years ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Updated last year
- ☆40Updated last year
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Updated 4 years ago