CsnowyLstar / HoGRC
Higher-order Granger reservoir computing
☆19Updated 3 weeks ago
Alternatives and similar repositories for HoGRC:
Users that are interested in HoGRC are comparing it to the libraries listed below
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆78Updated 2 years ago
- Neural Dynamics on Complex Networks☆51Updated 4 years ago
- ☆38Updated 2 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆45Updated last year
- Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems☆16Updated 3 years ago
- A repository for using the distributed information bottleneck to locate information in data☆14Updated 5 months ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆43Updated 2 years ago
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆15Updated last year
- ☆8Updated 2 years ago
- Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction☆70Updated 5 years ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆34Updated 5 years ago
- Source code for the CHAracterisation of Reservoir Computers (CHARC) framework☆9Updated 4 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆40Updated 6 months ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆203Updated 6 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆196Updated 11 months ago
- Graph Echo State Networks for Pytorch☆20Updated last year
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆52Updated last year
- ☆60Updated last year
- Neural ODE Processes for Network Dynamics (NDP4ND), a new class of stochastic processes governed by stochastic data-adaptive network dyna…☆13Updated 3 weeks ago
- ☆96Updated last year
- Multivariate Time Series Repository☆63Updated last year
- Code to early predict the onset of critical transitions in networked dynamical systems.☆17Updated 2 months ago
- Consistent Koopman Autoencoders☆68Updated last year
- Spatial-Temporal Graph ODE Neural Network☆103Updated 3 years ago
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆19Updated last year
- Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality☆30Updated 4 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆112Updated last year
- ☆38Updated 3 years ago
- A diffusion-based framework for spatio-temporal point processes☆65Updated 10 months ago
- Graph Neural Networks for Irregular Time Series☆183Updated 2 years ago