Alternatives and similar repositories for TG-ODE

Users that are interested in TG-ODE are comparing it to the libraries listed below

• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆49Updated last year
• Graph-Machine-Learning-Group / taming-local-effects-stgnns
  Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)
  ☆22Updated 4 months ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆84Updated 2 years ago
• djm209 / HSTGODE
  HSTGODE code
  ☆9Updated last year
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆59Updated 2 years ago
• andreacini / higp
  Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)
  ☆19Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆114Updated 3 years ago
• zyplanet / TPGNN
  ☆30Updated last year
• zbliu98 / GRAM-ODE
  Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"
  ☆18Updated last year
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆157Updated 10 months ago
• Z-GCNETs / Z-GCNETs
  ☆40Updated 3 years ago
• RobinLu1209 / ST-GFSL
  ☆45Updated 2 years ago
• AprLie / TrafficStream
  ☆48Updated 3 years ago
• zhycs / LaST
  Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022
  ☆81Updated 2 years ago
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 2 years ago
• egetaga / TimePFN
  Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).
  ☆18Updated last week
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆60Updated 11 months ago
• LMZZML / PriSTI
  ☆86Updated last year
• AdityaLab / EpiFNP
  Official repo to paper
  ☆13Updated 2 years ago
• Graph-Machine-Learning-Group / grin
  Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
  ☆169Updated 3 years ago
• CausalRivers / causalrivers
  The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.
  ☆20Updated this week
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆14Updated 5 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
• yoshall / SINPA
  ☆11Updated last week
• BoChenGroup / DVGCRN
  Repository for ICML2022
  ☆15Updated 2 years ago
• razvanc92 / ST-WA
  ☆19Updated 3 years ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆43Updated 2 years ago
• LiuZH-19 / ESG
  PyTorch implementation of ESG
  ☆85Updated 2 years ago
• zichuan-liu / TimeXplusplus
  [ICML'24] Official PyTorch Implementation of TimeX++
  ☆26Updated 9 months ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆58Updated 2 years ago