CsnowyLstar / HoGRCLinks
Higher-order Granger reservoir computing
☆21Updated 5 months ago
Alternatives and similar repositories for HoGRC
Users that are interested in HoGRC are comparing it to the libraries listed below
Sorting:
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆83Updated 2 years ago
- Code to early predict the onset of critical transitions in networked dynamical systems.☆21Updated 7 months ago
- Code and data for paper: Learning interpretable dynamics of stochastic complex systems from experimental data☆20Updated this week
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆28Updated last year
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆48Updated last year
- Graph Echo State Networks for Pytorch☆23Updated 2 years ago
- This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked syste…☆51Updated 8 months ago
- Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction☆70Updated 5 years ago
- A repository for using the distributed information bottleneck to locate information in data☆16Updated 10 months ago
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆17Updated last year
- Official implementation for "Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space" (KDD2024)☆23Updated 2 months ago
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆21Updated 2 months ago
- Spatial-Temporal Graph ODE Neural Network☆114Updated 3 years ago
- The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.☆15Updated 2 months ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆13Updated 3 months ago
- ☆18Updated last year
- ☆14Updated last year
- Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731☆12Updated last year
- ☆39Updated 3 years ago
- ☆19Updated 2 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆55Updated 9 months ago
- ☆10Updated last year
- [KDD 2024] Papers about deep learning in epidemic modeling.☆59Updated 8 months ago
- ☆16Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated 11 months ago
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆17Updated 11 months ago
- Code for our paper "Temporal Graph Neural Networks for Irregular Data"☆19Updated last year
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆58Updated 2 years ago
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆30Updated last year