AdityaLab / EINNsLinks
[AAAI-23] Epidemiologically-informed Neural Networks
☆14Updated 2 years ago
Alternatives and similar repositories for EINNs
Users that are interested in EINNs are comparing it to the libraries listed below
Sorting:
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆30Updated 2 years ago
- Deep Learning for Epidemiological Predictions☆14Updated 5 years ago
- Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package☆58Updated last year
- A Python Library for Machine Learning in Epidemic Data Modeling and Analysis☆52Updated 2 weeks ago
- ☆12Updated last year
- Code and Data for Advancing real-time infectious disease forecasting using large language models☆40Updated 2 months ago
- [KDD 2024] Papers about deep learning in epidemic modeling.☆60Updated 11 months ago
- Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731☆12Updated last year
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆169Updated 3 years ago
- ☆23Updated last year
- An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.☆77Updated 2 years ago
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆18Updated last year
- PyTorch implementation of probabilistic deep forecast applied to air quality.☆26Updated 3 years ago
- R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for mu…☆42Updated last year
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆87Updated 2 years ago
- ☆37Updated 6 years ago
- tsl: a PyTorch library for processing spatiotemporal data.☆349Updated 2 months ago
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆23Updated last year
- Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable☆31Updated last year
- Temporal matrix factorization for sparse traffic time series forecasting.☆57Updated 4 months ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆88Updated 2 weeks ago
- Transportation data online prediction☆50Updated 4 years ago
- Graph Neural Networks for Irregular Time Series☆210Updated 2 years ago
- Code for Copula conformal prediction paper (ICLR 2024)☆28Updated 11 months ago
- Time-Series Clustering: Overview, R-packages☆44Updated 3 months ago
- ☆43Updated 3 years ago
- Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)☆61Updated 4 months ago
- Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction☆70Updated 5 years ago
- ☆42Updated last week
- ☆140Updated this week