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

• zhkai / MTSF-DG
  Time Series Forecasting with Dynamic Graph Modeling
  ☆11Updated 5 months ago
• zhengchuanpan / INCREASE
  INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
  ☆15Updated 2 years ago
• dyu62 / multisource-spatial-point-prediction
  ☆8Updated 10 months ago
• hqh0728 / CrossGNN
  The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
  ☆32Updated last year
• ChengqingYu / MRIformer
  The main code of our proposed multi-resolution interactive transformer
  ☆11Updated 2 months ago
• mb-Ma / HiSTGNN
  code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences
  ☆15Updated 2 years ago
• alvinzhaowei / GAMCN
  This is an implementation of a traffic speed predicition model.
  ☆10Updated 2 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆60Updated 11 months ago
• usail-hkust / ASeer
  The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…
  ☆26Updated 11 months ago
• luisroque / bench
  ☆13Updated 6 months ago
• zyplanet / TPGNN
  ☆30Updated last year
• creator-xi / Error-quantified-Conformal-Inference
  ☆16Updated 6 months ago
• JLDeng / SCNN
  [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…
  ☆29Updated last year
• qianlima-lab / PyOmniTS
  🔬 A Researcher-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!
  ☆15Updated 2 weeks ago
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆33Updated last year
• gorgen2020 / DVGNN
  ☆26Updated 2 years ago
• nkirschi / Neural-Flood-Forecasting
  Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting
  ☆15Updated 4 months ago
• yoshall / SINPA
  ☆11Updated last week
• ChengqingYu / MTS_dataset
  This folder contains some of the data sets commonly used in the field of multivariate time series forecasting.
  ☆10Updated 2 years ago
• ChengqingYu / GAT-Informer
  This folder contains spatiotemporal prediction models implemented in combination with Informer and GAT.
  ☆18Updated 2 months ago
• Levi-Ackman / ReFocus
  Code For Paper "Bridging the Spectrum Gap: Mid‑Frequency Augmentation and Key‑Frequency Mining for Multivariate Time Series"
  ☆15Updated 3 months ago
• wengwenchao123 / PM-DMNet
  [TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
  ☆23Updated 2 months ago
• djm209 / HSTGODE
  HSTGODE code
  ☆9Updated last year
• mb-Ma / TGCRN
  ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"
  ☆14Updated last year
• RobinLu1209 / ST-GFSL
  ☆45Updated 2 years ago
• idea-iitd / Frigate
  ☆15Updated last year
• LRQ577 / FAITH
  Code release of paper "FAITH: Frequency-domain Attention In Two Horizons for Long-term time series forecasting"
  ☆14Updated last month
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆99Updated 4 months ago
• razvanc92 / triformer
  ☆25Updated 3 years ago
• XinleWu / AutoCTS
  The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".
  ☆19Updated 3 years ago