Alternatives and similar repositories for STAN

Users that are interested in STAN are comparing it to the libraries listed below

• Xiefeng69 / EpiGNN
  [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
  ☆27Updated 3 years ago
• Emory-Melody / awesome-epidemic-modeling-papers
  [KDD 2024] Papers about deep learning in epidemic modeling.
  ☆65Updated last year
• deepkashiwa20 / MepoGNN
  [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
  ☆30Updated 2 years ago
• geopanag / pandemic_tgnn
  ☆49Updated last year
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆339Updated last year
• amy-deng / colagnn
  ☆18Updated 3 years ago
• YesLab-Code / HTGNN
  ☆64Updated 4 years ago
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆179Updated 4 years ago
• Emory-Melody / EpiLearn
  A Python Library for Machine Learning in Epidemic Data Modeling and Analysis
  ☆60Updated 3 months ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆123Updated 3 years ago
• Kaimaoge / IGNNK
  ☆125Updated 2 years ago
• ZijieH / CG-ODE
  ☆37Updated 4 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• akaxlh / ST-SHN
  ST-SHN, IJCAI 2021
  ☆19Updated 4 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆96Updated 3 years ago
• ronghangzhu / CensNet
  ☆72Updated 3 years ago
• davidchouzdw / TagGen
  A Data-Driven Graph Generative Model for Temporal Interaction Networks
  ☆36Updated 3 years ago
• AmitRoy7781 / SST-GNN
  [PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
  ☆40Updated last year
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 9 months ago
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆209Updated 11 months ago
• KienMN / STGNN-for-Covid-in-Korea
  Spatio-temporal graph neural network for predicting COVID-19 new cases in Korea.
  ☆34Updated 4 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)
  ☆174Updated 3 years ago
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆41Updated 3 years ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆88Updated 3 years ago
• snap-stanford / roland
  ☆144Updated 2 years ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆37Updated last year
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆41Updated 2 years ago
• EternityZY / CCHMM
  This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"
  ☆12Updated 3 years ago
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆59Updated last year
• liangzhehan / DMSTGCN
  ☆74Updated 3 years ago