Alternatives and similar repositories for MepoGNN

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

• Emory-Melody / awesome-epidemic-modeling-papers
  [KDD 2024] Papers about deep learning in epidemic modeling.
  ☆65Updated last year
• Emory-Melody / EpiLearn
  A Python Library for Machine Learning in Epidemic Data Modeling and Analysis
  ☆60Updated 3 months ago
• Xiefeng69 / EpiGNN
  [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
  ☆27Updated 3 years ago
• HySonLab / pandemic_tgnn
  Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731
  ☆12Updated 2 years ago
• v1xerunt / STAN
  ☆25Updated 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"
  ☆20Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆123Updated 3 years ago
• Kaimaoge / IGNNK
  ☆125Updated 2 years ago
• geopanag / pandemic_tgnn
  ☆49Updated 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
• akaxlh / ST-SHN
  ST-SHN, IJCAI 2021
  ☆19Updated 4 years ago
• deepkashiwa20 / ODCRN
  [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
  ☆29Updated 2 years ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆26Updated 4 years ago
• RobinLu1209 / ST-GFSL
  ☆46Updated 3 years ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆76Updated 5 months ago
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆67Updated 2 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
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆136Updated 2 years ago
• AdityaLab / EpiFNP
  Official repo to paper
  ☆13Updated 2 years ago
• WeizhuQIAN / DeepSTUQ_Pytorch
  ☆11Updated last year
• Evens1sen / Deep-NYC-Taxi-Bike
  The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"
  ☆22Updated 2 years ago
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆163Updated last year
• Coolgiserz / Awesome-Traffic-Prediction
  Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
  ☆149Updated last year
• iarai / NeurIPS2022-traffic4cast
  Code accompanying our NeurIPS 2022 traffic4cast challenge
  ☆82Updated 2 years ago
• tsinghua-fib-lab / Spatio-temporal-Diffusion-Point-Processes
  A diffusion-based framework for spatio-temporal point processes
  ☆75Updated last year
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• underdoc-wang / EAST-Net
  [AAAI'22] Event-Aware Multimodal Mobility Nowcasting
  ☆14Updated 3 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
• uctb / UCTB
  An Open Source Spatio-Temporal Prediction Package
  ☆220Updated last year