DongxiaW / Quantifying_Uncertainty_in_Deep_Spatiotemporal_ForecastingLinks
Quantifying Uncertainty in Deep Spatiotemporal Forecasting
☆12Updated 4 years ago
Alternatives and similar repositories for Quantifying_Uncertainty_in_Deep_Spatiotemporal_Forecasting
Users that are interested in Quantifying_Uncertainty_in_Deep_Spatiotemporal_Forecasting are comparing it to the libraries listed below
Sorting:
- Time Series Forecasting with Dynamic Graph Modeling☆15Updated 4 months ago
- Official code for the paper 'Spatial-temporal Forecasting for Regions without Observations'☆13Updated 2 months ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Updated 10 months ago
- This is an implementation of a traffic speed predicition model.☆10Updated 3 years ago
- ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"☆16Updated last year
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆16Updated 2 years ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆37Updated 2 years ago
- ☆13Updated 11 months ago
- [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction☆31Updated 4 months ago
- This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.☆20Updated 8 months ago
- ☆32Updated last year
- The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".☆19Updated 3 years ago
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆14Updated 9 months ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆70Updated last year
- ☆15Updated 2 years ago
- KDD 2025: "Predicting the Dynamics of Complex Systems via Multiscale Diffusion Autoencoder"☆18Updated 7 months ago
- INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging☆18Updated 2 years ago
- KDD'2025. This project aims to explore the application of hypergraph spatio-temporal learning and Large Language Models (LLMs) in traffi…☆31Updated 2 weeks ago
- [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…☆31Updated last year
- ☆25Updated 3 years ago
- HSTGODE code☆10Updated 2 years ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆62Updated 2 years ago
- The main code of our proposed multi-resolution interactive transformer☆11Updated 8 months ago
- [ICLR 2024 Spotlight]☆24Updated last year
- [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"☆52Updated 8 months ago
- ☆15Updated 5 months ago
- ☆25Updated last year
- ☆28Updated 4 months ago
- The official implementation of SDGL☆37Updated last year
- Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).☆37Updated last year