bnusss / GGNLinks
Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
☆70Updated 6 years ago
Alternatives and similar repositories for GGN
Users that are interested in GGN are comparing it to the libraries listed below
Sorting:
- Neural Dynamics on Complex Networks☆55Updated 5 years ago
- Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems☆16Updated 4 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆64Updated 4 years ago
- Uncertainty and causal emergence in complex networks☆122Updated 4 years ago
- Neural Graph Differential Equations (Neural GDEs)☆211Updated 4 years ago
- ☆12Updated 3 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 7 years ago
- Time-varying Autoregression with Low Rank Tensors☆16Updated 4 years ago
- Graph Imputation Neural Network☆79Updated 5 years ago
- ☆319Updated 4 years ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆222Updated 3 years ago
- Discovering directional relations via minimum predictive information regularization☆23Updated 6 years ago
- Implementation of the Latent CCM paper☆17Updated last year
- ☆17Updated 4 years ago
- ☆42Updated 3 years ago
- Bayesian Tensor Decomposition Approach for Incomplete Traffic Data Imputation☆32Updated 6 years ago
- Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).☆19Updated 4 years ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆64Updated 4 years ago
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆52Updated 5 years ago
- Statistical Recurrent Unit based time series generative models for detecting nonlinear Granger causality☆35Updated 5 years ago
- A repository for using the distributed information bottleneck to locate information in data☆17Updated last year
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Updated last year
- Experimental Matlab code for methods and some examples in "Higher-order organization of complex networks"☆41Updated 6 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆38Updated last year
- Factoried Neural Relational Inference for Multi-Interacting Systems☆30Updated 6 years ago
- Code for "Graph-based Semi-Supervised & Active Learning for Edge Flows"☆15Updated 6 years ago
- FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)☆220Updated 2 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Updated 10 years ago
- LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling☆13Updated 7 years ago