Alternatives and similar repositories for IJCAI2022_ST-KMRN

Users that are interested in IJCAI2022_ST-KMRN are comparing it to the libraries listed below

• AlexTMallen / dpk
  Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty
  ☆24Updated 4 years ago
• razvanc92 / triformer
  ☆25Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆42Updated 4 years ago
• shangzongjiang / SNAS4MTF
  ☆15Updated last year
• LSY-Cython / DiffPLF
  ☆39Updated last year
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆31Updated last year
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆83Updated 3 years ago
• sheoyon-jhin / CONTIME
  Addressing prediction delays in time series forecasting: A continuous GRU Approach with derivative regularization
  ☆30Updated last year
• RPcb / ARNN
  ☆42Updated 3 years ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆24Updated last year
• Hundredl / MG-TSD
  The code for the paper "[ICLR'24]MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process"
  ☆61Updated last year
• egetaga / TimePFN
  Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).
  ☆24Updated 5 months ago
• stonetre / LPGNN
  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
• xinychen / vars
  Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)
  ☆22Updated last year
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆89Updated 4 years ago
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• minkiml / NFM
  ☆13Updated last year
• RomainLITUD / Multistep-Traffic-Forecasting-by-Dynamic-Graph-Convolution
  Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations
  ☆16Updated last year
• nzl5116190 / Basisformer
  This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learna…
  ☆104Updated last year
• YoZhibo / ForecastGrapher
  ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
  ☆32Updated last year
• rottenivy / mv_pts_correlatederr
  ☆16Updated last year
• zyplanet / TPGNN
  ☆32Updated last year
• networkslab / rnn_flow
  ☆23Updated 4 years ago
• hqh0728 / CrossGNN
  The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
  ☆37Updated 2 years ago
• yiminghzc / MDST-GNN
  a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …
  ☆32Updated 3 years ago
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated 2 years ago
• gorgen2020 / HSPGNN
  Physics-incorporated Graph Neural Network Using Dynamic Higher-Order Spatio-temporal Graphs for Multivariate Time Series Imputation
  ☆16Updated 4 months ago
• xinychen / tracebase
  Temporal matrix factorization for sparse traffic time series forecasting.
  ☆58Updated 8 months ago
• tianzhou2011 / FiLM
  ☆97Updated 3 years ago
• Friger / GAGNN
  add codes
  ☆19Updated 4 years ago