Alternatives and similar repositories for GRAM-ODE

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

• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆62Updated 2 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆125Updated 4 years ago
• usail-hkust / ASeer
  The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…
  ☆28Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆89Updated 3 years ago
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 3 years ago
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆165Updated last year
• WeizhuQIAN / DeepSTUQ_Pytorch
  ☆11Updated last year
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆141Updated 2 years ago
• gorgen2020 / DVGNN
  ☆30Updated 5 months ago
• djm209 / HSTGODE
  HSTGODE code
  ☆10Updated 2 years ago
• CausalRivers / causalrivers
  The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.
  ☆41Updated 5 months ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆74Updated last year
• yoshall / SINPA
  ☆15Updated 6 months ago
• AdityaLab / EpiFNP
  Official repo to paper
  ☆13Updated 3 years ago
• YuanYuan98 / UniFlow
  ☆17Updated last year
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆81Updated 6 months ago
• wenhaomin / DiffSTG
  Code for DiffSTG
  ☆86Updated last year
• usail-hkust / t-PatchGNN
  Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …
  ☆125Updated 2 months ago
• razvanc92 / ST-WA
  ☆20Updated 4 years ago
• sqlcow / TITAN
  The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》
  ☆29Updated last year
• tongnie / ImputeFormer
  [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
  ☆52Updated 9 months ago
• hjf1997 / STGNP
  KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation
  ☆37Updated 2 years ago
• tsinghua-fib-lab / Spatio-temporal-Diffusion-Point-Processes
  A diffusion-based framework for spatio-temporal point processes
  ☆76Updated last year
• decisionintelligence / K2VAE
  [ICML 2025 Spotlight] K²VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
  ☆47Updated 6 months ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated 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)
  ☆175Updated 3 years ago
• RobinLu1209 / ST-GFSL
  ☆47Updated 3 years ago
• zyplanet / TPGNN
  ☆32Updated last year
• LMZZML / PriSTI
  ☆92Updated 2 years ago