Alternatives and similar repositories for HoGRC

Users that are interested in HoGRC 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)
  ☆50Updated last year
• m-serious / tipping-predictor
  Code to early predict the onset of critical transitions in networked dynamical systems.
  ☆22Updated 9 months 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
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆85Updated 2 years ago
• tsinghua-fib-lab / ResInf
  This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked syste…
  ☆53Updated 10 months ago
• dtortorella / graph-esn
  Graph Echo State Networks for Pytorch
  ☆24Updated 2 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆117Updated 3 years ago
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆58Updated 2 years ago
• andreacini / higp
  Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)
  ☆20Updated last year
• Yiminghh / VertexEntanglement
  ☆15Updated last year
• deepkashiwa20 / MepoGNN
  [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
  ☆29Updated 2 years ago
• aikunyi / FourierGNN
  Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"
  ☆224Updated last year
• distributed-information-bottleneck / distributed-information-bottleneck.github.io
  A repository for using the distributed information bottleneck to locate information in data
  ☆16Updated last year
• mims-harvard / Raindrop
  Graph Neural Networks for Irregular Time Series
  ☆207Updated 2 years ago
• 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
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆126Updated last year
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆14Updated 5 months ago
• Graph-Machine-Learning-Group / taming-local-effects-stgnns
  Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)
  ☆22Updated 5 months ago
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 3 years ago
• RPcb / ARNN
  ☆43Updated 3 years ago
• kby24 / AIDD
  Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems
  ☆16Updated 4 years ago
• TorchSpatiotemporal / tsl
  tsl: a PyTorch library for processing spatiotemporal data.
  ☆347Updated last month
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆53Updated 4 years ago
• yokifly / ASTTN_pytorch
  ☆38Updated 2 years ago
• bnusss / GGN
  Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
  ☆70Updated 5 years ago
• sshleifer / Graph-WaveNet
  Modifications to Graph Wavenet
  ☆107Updated 5 years ago
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆69Updated 3 months ago
• YoZhibo / ForecastGrapher
  ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
  ☆31Updated last year
• ZhuoLinLi-shu / SDGL
  The official implementation of SDGL
  ☆33Updated last year
• Z-GCNETs / Z-GCNETs
  ☆40Updated 3 years ago